AI agents have quietly moved from experimental concepts to practical tools that handle complex tasks in the financial world. These systems go beyond simple automation by reasoning through goals, gathering data from multiple sources, and executing multi-step processes with minimal human input. In an industry where speed, accuracy, and compliance matter more than ever, they offer a way to manage high-volume workflows while keeping costs in check.

What makes these agents particularly valuable is their ability to adapt in real time. Whether monitoring transactions for unusual patterns or adjusting forecasts based on fresh market signals, they bring a level of responsiveness that traditional methods struggle to match. As financial teams look for ways to stay competitive, integrating such intelligent systems is becoming less of a luxury and more of a strategic necessity.

 

Scale Finance Operations with Custom AI Engineering

Developing AI agents for the financial sector requires more than just off-the-shelf algorithms; it demands a robust infrastructure capable of handling high-frequency data and complex regulatory requirements. OSKI Solutions provides the technical execution power to build and integrate these intelligent systems into existing financial workflows. By bridging the gap between advanced AI concepts and functional enterprise software, the company helps firms automate manual analysis and enhance decision-making speed.

The team specializes in:

• Custom AI and machine learning integration for automated financial modeling
• Development of scalable cloud architectures on AWS to support data-heavy agents
• Seamless API and middleware connectivity between AI tools and legacy ERP or CRM systems
• End-to-end engineering of secure, enterprise-grade digital products from ideation to launch
• Team augmentation to provide immediate technical expertise for complex fintech projects

Accelerate your deployment of intelligent financial tools by partnering with the engineering experts at OSKI Solutions.

 

 

 

1. Activepieces

Activepieces serves as an AI-first automation tool for building intelligent agents and workflows. It offers a drag-and-drop builder that lets users create multi-step flows with custom logic, AI decision-making, and options for human approval when needed. The tool includes ready-made agents from its library, such as ones for lead qualification and scoring, which can connect to various enterprise applications and APIs.

In finance and fintech settings the agents handle tasks like progressing deals or qualifying incoming leads automatically. Users combine triggers with AI-powered actions and can add conditional branches or custom code if required. The setup gives IT teams oversight and control while keeping the creation process accessible. It feels practical when automation needs to stay flexible yet secure within company systems.

Key Highlights:

• Drag-and-drop builder for creating AI agents and workflows
• Includes pre-built agents like Lead Scorer and Deal Closer
• Supports custom logic with human-in-the-loop approvals
• Connects to enterprise apps and APIs including financial systems
• Provides analytics on agent performance and usage

Who It’s Best For:

• Fintech companies automating lead and deal processes
• Finance teams building custom internal workflows
• Organizations needing controlled no-code automation
• IT departments that want oversight on AI agent deployments

Contact Information:

• Website: www.activepieces.com
• Email: contact@activepieces.com

 

2. Chatfin

Chatfin functions as an AI super agent designed specifically for finance and accounting teams. It connects directly to ERPs and runs agents that perform tasks across controllership, FP&A, accounts payable, accounts receivable, tax, and treasury functions. The agents work on live data inside the ERP to handle reconciliations, journal entries, accruals, and variance checks without manual exports.

Many teams use it to manage month-end close activities through automated checklists and exception flagging. The agents learn patterns from the chart of accounts and vendor behavior, then execute steps with full audit trails and required approvals for any changes. It replaces several separate point solutions with one interface that feels less fragmented once connected.

Key Highlights:

• Connects natively to multiple ERP systems for read-write access
• Runs AI agents for month-end close and reconciliations
• Automates journal entries, accruals, and variance analysis
• Maintains complete audit trails with human approvals
• Supports workflows in AP, AR, tax, and treasury

Who It’s Best For:

• Accounting teams handling full month-end close cycles
• Finance departments using NetSuite, SAP, Dynamics, or similar ERPs
• Controllers looking to reduce repetitive reconciliation work
• Companies tired of managing multiple disconnected finance tools

Contact Information:

• Website: chatfin.ai
• Email: info@chatfin.ai
• Address: 1900 Powell St Suite 700, Emeryville, CA 94608, United States
• LinkedIn: www.linkedin.com/company/chatfinance
• Instagram: www.instagram.com/chatfin.ai

 

3. Concourse

Concourse builds AI agents focused on corporate finance operations and analysis. It connects to ERPs, data warehouses, billing systems, and CRMs so agents can pull data and perform tasks through simple natural language instructions. The Flux Agent specializes in flux and variance analysis, explaining changes without requiring line-by-line transaction reviews.

Users rely on it for month-end close support, weekly business reviews, AR aging reports, revenue forecasting, and reconciliations. The agents also generate commentary, run scenario forecasts, and export results to common formats like Excel or PowerPoint. The whole process includes traceability back to source data, which makes reviews more straightforward.

Key Highlights:

• Connects quickly to ERPs and data warehouses
• Flux Agent performs variance and flux analysis
• Supports natural language queries for financial insights
• Generates reports and narratives on schedule
• Runs real-time forecasting scenarios

Who It’s Best For:

• Corporate finance teams doing regular variance analysis
• FP&A groups preparing weekly or monthly business reviews
• Finance users who prefer asking questions in plain language
• Companies wanting to automate reporting and forecasting work

Contact Information:

• Website: www.concourse.co
• LinkedIn: www.linkedin.com/company/concourseai
• Twitter: x.com/Concourse_ai

 

4. Glean AI

Glean AI works as a knowledge agent focused on financial services. It searches across internal company data and pulls together relevant insights from scattered financial documents, reports, and systems. Finance users can ask questions in natural language and receive answers that combine information from different sources without manual digging.

The agent connects to various internal repositories so it can surface context-specific details on budgets, transactions, or performance metrics. Sometimes it highlights connections that might otherwise stay hidden in separate files or folders. In practice it feels useful when finance teams need quick access to accurate internal knowledge without switching between multiple tools or asking colleagues for help.

Key Highlights:

• Searches internal financial data and documents
• Delivers insights based on natural language questions
• Connects information from multiple internal sources
• Supports finance-specific knowledge retrieval
• Surfaces relevant context from company repositories

Who It’s Best For:

• Finance teams in financial services companies
• Analysts who frequently search for internal financial information
• Departments dealing with fragmented knowledge across systems
• Users who want faster access to company financial knowledge

Contact Information:

• Website: www.glean.com
• Address: 634 2nd Street, San Francisco, CA 94107, United States
• LinkedIn: www.linkedin.com/company/gleanwork
• Twitter: x.com/glean
• Instagram: www.instagram.com/gleanwork
• App Store: apps.apple.com/us/app/glean-work/id1582892407
• Google Play: play.google.com/store/apps/details?id=com.glean.app

 

5. Dust

Dust serves as a no-code tool that lets users build custom AI agents tailored for finance work. Finance teams can create specialized agents that handle reporting, data analysis, and automated workflows by connecting to company data sources. The agents pull information from places like documents, spreadsheets, and communication tools to complete tasks.

Once built, these agents can automate repetitive reporting steps or turn raw data into clearer insights and visual summaries. They allow non-technical users to query information directly and get consistent results. The setup makes it easier to create agents that fit specific finance processes without writing code from scratch.

Key Highlights:

• Enables no-code creation of custom finance agents
• Connects agents to company data sources and workflows
• Supports automated reporting and data analysis
• Helps transform insights into visual formats
• Allows deployment of agents for finance workflows

Who It’s Best For:

• Finance teams wanting custom AI agents without coding
• Analysts building specialized reporting or analysis agents
• Companies looking to automate finance workflows internally
• Users who connect multiple data sources for unified insights

Contact Information:

• Website: dust.tt
• Email: support@dust.tt
• LinkedIn: www.linkedin.com/company/dust-tt
• Twitter: x.com/DustHQ

 

6. Lunos AI

Lunos AI serves as an autonomous agent that takes care of accounts receivable work. It handles outreach, sends follow-ups, and manages replies while keeping conversations sounding natural. The agent connects to existing finance systems to pull customer details and then decides on next steps like chasing payments or resolving invoice questions.

Some days it sends thank you notes after receiving money. Other times it hunts for the right finance contact or escalates issues that need human attention. Users get a clear list of scheduled actions and dashboards that show what is happening in real time. The tone of messages can blend a few styles so it fits the company voice without sounding robotic.

Key Highlights:

• Automates daily outreach and follow-ups for overdue payments
• Reads incoming messages and understands customer intent
• Connects with ERP and CRM systems for context
• Maintains customer relationships during collection
• Provides dashboards for visibility and manual overrides

Who It’s Best For:

• Finance teams tired of chasing invoices manually
• Companies with scattered customer data across different systems
• AR specialists who want to focus on exceptions rather than routine tasks
• Businesses looking to reduce days sales outstanding without adding staff

Contact Information:

• Website: www.lunos.ai
• Email: hello@lunos.ai
• LinkedIn: www.linkedin.com/company/lunos-ai

 

7. Vic.ai

Vic.ai focuses on accounts payable automation with its set of VicAgents. These agents process incoming invoices and handle approval flows with little manual work needed. The system pulls data accurately and speeds up the entire payable cycle from receipt to payment.

Invoice handling feels smoother because the agents learn patterns and reduce repetitive checks. Finance teams end up with cleaner data for reporting and fewer errors slipping through. The whole process runs more predictably once the agents settle into the daily workflow.

Key Highlights:

• Automates invoice processing and approval routing
• Delivers consistent data accuracy for AP operations
• Reduces manual steps in bill payment cycles
• Supports multi-entity accounts payable environments
• Prevents common fraud risks through pattern detection

Who It’s Best For:

• AP managers handling high invoice volumes
• Controllers seeking fewer errors in financial records
• Finance departments that want faster month-end closes
• Teams responsible for supplier payments across locations

Contact Information:

• Website: www.vic.ai
• Email: support@vic.ai
• Address: 228 Park Ave S, New York, NY 10003
• LinkedIn: www.linkedin.com/company/vic.ai
• Facebook: www.facebook.com/VicdotAI
• Twitter: x.com/VicDotAi
• Instagram: www.instagram.com/vicdotai

 

8. HighRadius

HighRadius offers a collection of AI agents that cover different parts of the financial process. The agents manage order-to-cash flows, accounts payable tasks, treasury operations, and record-to-report activities. They handle everything from credit checks to payment matching and reconciliation steps.

One agent might release blocked orders after scoring risk while another applies cash from bank statements automatically. In the close process agents reconcile accounts and post necessary adjustments. The setup lets each agent focus on its area while still working together on end-to-end finance cycles.

Key Highlights:

• Covers order-to-cash and collections processes
• Handles accounts payable and supplier management
• Supports treasury payments and cash forecasting
• Performs financial close and reconciliation tasks
• Manages deductions and intercompany adjustments

Who It’s Best For:

• Large finance organizations with complex transaction volumes
• Teams running separate O2C AP and treasury functions
• Companies that need automation across credit and collections
• Finance departments looking to connect multiple back-office processes

Contact Information:

• Website: www.highradius.com
• Phone: (281) 968-4473
• Email: contact@highradius.com
• Address: HighRadius Corporation, 2107 CityWest Blvd, Suite 1100, Houston, TX 77042
• LinkedIn: www.linkedin.com/company/highradius
• Facebook: www.facebook.com/HighRadius
• Twitter: x.com/HighRadius

 

9. BlackLine

BlackLine uses its Verity AI suite to support the financial close and reconciliation work. The agents take on routine tasks like preparing journal entries, matching transactions, and helping generate financial statements. They also watch for anomalies during consolidation and flag potential issues so teams can review them before finalizing the books.

In intercompany operations the agents speed up billing and matching processes while adding predictive checks to catch errors early. Some agents handle summarization of insights and others focus on variance detection. The overall flow feels more connected because everything runs inside the same record-to-report environment, which reduces the usual back-and-forth between systems and spreadsheets.

Key Highlights:

• Automates journal entries and reconciliations in the close process
• Surfaces anomalies and variances during consolidation
• Handles intercompany billing and matching
• Supports financial statement generation
• Performs predictive checks to prevent booking errors

Who It’s Best For:

• Accounting teams responsible for month-end close
• Finance departments with heavy reconciliation workloads
• Companies managing complex intercompany transactions
• Controllers who want fewer manual tasks in record-to-report

Contact Information:

• Website: www.blackline.com
• Phone: +1 877 777 7750
• Email: sales@blackline.com
• Address: 21300 Victory Blvd 12th Floor, Woodland Hills, CA 91367, United States
• LinkedIn: www.linkedin.com/company/blackline
• Facebook: www.facebook.com/blackline
• Twitter: x.com/blackLine
• Instagram: www.instagram.com/blackline

 

10. Stampli

Stampli centers on accounts payable automation with its AI handling intelligent coding and invoice matching. The system processes invoices through procure-to-pay workflows and routes approvals according to company rules. It keeps real-time visibility on every transaction and enforces budget checks before any payment goes out.

Stampli AI steps in for the daily grind of coding across many different fields and documents every action in a clear audit trail. The workflows stay flexible whether the process is simple or involves multiple layers of review. In practice it takes away a lot of the repetitive matching work that usually slows down AP teams.

Key Highlights:

• Performs intelligent coding and matching for invoices
• Automates approval workflows aligned with ERP
• Enforces budget controls before payments
• Maintains real-time transaction visibility
• Creates immutable audit trails for every action

Who It’s Best For:

• AP teams dealing with high invoice volumes
• Finance departments running procure-to-pay cycles
• Companies that need stronger spend controls
• Accounting groups looking to reduce manual coding

Contact Information:

• Website: www.stampli.com 
• Email: support@stampli.com
• Address: 800 California Street, Floor 2, Mountain View, CA 94041
• LinkedIn: www.linkedin.com/company/stampli
• Facebook: www.facebook.com/stampli
• Twitter: x.com/stampli

 

11. Cube

Cube keeps the familiar Excel and Google Sheets environment for FP&A while adding conversational AI directly inside the spreadsheets. Users can ask questions in plain language and the agents return clear insights along with explanations of what is driving the numbers. Dedicated agents also watch over data integrity so the figures stay consistent and trustworthy.

The FP&Ai suite includes agents for smart variance analysis and AI forecasting that work with business context. They pull together structured data from systems and unstructured information to support scenario planning, budgeting, and rolling forecasts. It ends up feeling like having an extra pair of hands that understands finance without forcing teams to leave their usual tools.

Key Highlights:

• Embeds conversational AI inside Excel and Google Sheets
• Performs smart variance analysis at the cell level
• Generates AI forecasting with business context
• Maintains data integrity across planning workspaces
• Supports scenario planning and what-if analysis

Who It’s Best For:

• FP&A analysts who live in Excel for planning work
• Finance teams needing faster variance explanations
• Companies running rolling forecasts and scenarios
• Users who prefer staying inside spreadsheets with AI help

Contact Information:

• Website: www.cubesoftware.com
• Email: partnerships@cubesoftware.com
• LinkedIn: www.linkedin.com/company/cube-planning-inc

 

12. Tellius

Tellius builds agentic analytics aimed at finance and FP&A work. Its agents keep an eye on key performance indicators and flag variances as soon as they appear. When something looks off the agents dig into the numbers to explain possible causes without waiting for someone to ask.

Users can type plain questions and receive clear breakdowns of why a number moved. The agents pull data from planning tools and data warehouses then present consistent definitions across reports. This approach turns what used to take days of spreadsheet work into quicker investigations.

Key Highlights:

• Monitors financial KPIs and sends proactive alerts
• Performs automatic root cause analysis on variances
• Supports conversational questions for instant insights
• Unifies data from ERP and planning systems
• Generates explanations for budget versus actual differences

Who It’s Best For:

• FP&A teams that spend too much time on variance reports
• Finance analysts who need faster answers to "why" questions
• Companies with data scattered across multiple source systems
• Teams that want to shift from reactive reporting to proactive monitoring

Contact Information:

• Website: www.tellius.com
• Phone: 703-673-0113
• Email: sales@tellius.com
• Address: 205 Van Buren Street, Suite 120 #1058, Herndon, VA 20170, USA
• LinkedIn: www.linkedin.com/company/tellius
• Twitter: x.com/telliusdata

 

13. Datarails

Datarails provides AI agents built for financial planning and analysis inside an Excel-friendly setup. The agents help with budgeting cycles and forecasting by pulling data together and spotting trends. Finance users stay inside their familiar spreadsheets while the AI handles consolidation and basic modeling steps.

During reporting periods the agents automate repetitive parts of preparing statements so analysts can focus on what the numbers actually mean. Insights appear through visualizations that make it easier to notice unusual movements in costs or revenue lines.

Key Highlights:

• Supports budgeting and forecasting workflows
• Keeps Excel as the main working environment
• Automates financial consolidation and reporting
• Delivers insights on variance drivers and performance
• Assists with financial modeling tasks

Who It’s Best For:

• Finance teams that live in Excel for planning work
• FP&A groups responsible for budgeting and variance analysis
• Companies that want AI help without leaving their current tools
• Analysts who need quicker consolidation during close periods

Contact Information:

• Website: www.datarails.com
• Address: 16 Middle Neck Road, Great Neck Plaza, NY 11021
• LinkedIn: www.linkedin.com/company/datarails
• Facebook: www.facebook.com/datarails
• Twitter: x.com/datarails
• Instagram: www.instagram.com/data.rails

 

14. Planful

Planful includes AI features that assist with financial planning, forecasting, and the monthly close. The Analyst Assistant lets users ask questions in plain language and get explanations about what is driving the results. Signals watch for unusual patterns or potential errors before they affect reports.

Projections create baseline forecasts that adjust when conditions change. The AI also offers in-app guidance so users can build plans more confidently. All these pieces sit inside the planning process to make routine analysis feel less heavy.

Key Highlights:

• Answers natural language questions about financial data
• Detects anomalies and outliers during planning cycles
• Generates forecasts with scenario adjustments
• Provides step-by-step help inside the application
• Supports consolidation and reporting automation

Who It’s Best For:

• FP&A teams managing planning and forecasting cycles
• Finance departments that run frequent what-if scenarios
• Users who want explainable insights without deep technical skills
• Companies looking to speed up their financial close process

Contact Information:

• Website: www.planful.com
• Phone: +1-650-249-7100
• Email: sales@planful.com
• Address: 2261 Market Street, STE 36245, San Francisco, CA 94114
• LinkedIn: www.linkedin.com/company/planful-inc
• Facebook: www.facebook.com/PlanfulInc 
• Twitter: x.com/Planful
• Instagram: www.instagram.com/planful_inc

 

15. Anaplan

Anaplan connects strategic, financial, and operational plans through its CoPlanner and Finance Analyst Agent. The agents handle scenario planning, financial consolidation, and reporting while working across different parts of the business. They clean data, prepare forecasts, and run statistical models in the background.

The agentic workflows use predictive and generative AI to surface relevant insights and support faster decision making. Finance users can explore multiple outcomes with the agents managing calculations and alignments automatically. It helps when planning involves many departments and needs to stay consistent without creating separate silos.

Key Highlights:

• Supports scenario planning and analysis
• Assists with financial consolidation and reporting
• Runs agentic workflows for connected planning
• Integrates predictive and generative AI capabilities
• Prepares forecasts and statistical models at scale

Who It’s Best For:

• Finance teams working on connected planning
• Companies running complex scenario analysis
• Organizations aligning strategic and operational plans
• FP&A groups managing consolidation across departments

Contact Information:

• Website: www.anaplan.com
• Phone: +1-415-742-8199
• Address: 1450 Brickell Avenue, Suite 3040, Miami, FL 33131
• LinkedIn: www.linkedin.com/company/anaplan

 

16. Workday Adaptive Planning

Workday Adaptive Planning integrates finance and HCM data with AI agents that support planning cycles. The Planning Agent helps with forecasting and scenario modeling while pulling information from both financial and workforce systems. Intelligent Variance Analysis automatically highlights differences in performance and suggests possible reasons based on the connected data.

The setup allows users to move between planning views without switching applications. Agents handle routine variance checks and keep the models updated as new data arrives from HCM or finance sources. In practice the integration reduces the usual friction when workforce costs affect financial plans.

Key Highlights:

• Integrates finance planning with HCM data
• Supports forecasting and scenario modeling through AI agents
• Performs intelligent variance analysis
• Highlights performance differences with explanations
• Keeps models updated from connected systems

Who It’s Best For:

• Finance teams that combine financial and workforce planning
• Companies using Workday for both finance and HR
• FP&A groups needing variance insights across departments
• Organizations running integrated business planning cycles

Contact Information:

• Website: www.workday.com
• Phone: (925) 951-9000
• Address: 6110 Stoneridge Mall Road, Pleasanton, CA 94588
• LinkedIn: www.linkedin.com/company/workday
• Facebook: www.facebook.com/workday
• Twitter: x.com/workday
• Instagram: www.instagram.com/workday

 

17. Pigment

Pigment uses agent-based business planning with three dedicated agents that work inside the planning environment. The Analyst Agent scans metrics, flags anomalies, and builds reports so users can focus on decisions instead of hunting for numbers. The Planner Agent runs real-time scenario simulations and offers recommendations grounded in the current models and business context.

The Modeler Agent takes natural language instructions and creates or evolves governed models while maintaining transparency and documentation. All agents operate on shared live data so changes appear instantly across functions. It feels different from traditional planning tools because the agents stay active and proactive rather than waiting for manual triggers.

Key Highlights:

• Analyst Agent scans metrics and flags anomalies
• Planner Agent simulates scenarios and gives recommendations
• Modeler Agent builds and evolves models from natural language
• Agents work on governed data and live models
• Supports alignment across FP&A sales HR and supply chain

Who It’s Best For:

• Companies moving to agent-based planning approaches
• FP&A teams that want proactive insights and reports
• Organizations needing real-time scenario simulation
• Teams that rely on natural language for modeling work

Contact Information:

• Website: www.pigment.com
• Email: contact@gopigment.com
  Address: 8 rue Sainte-Cécile, 75009 Paris, France
• LinkedIn: www.linkedin.com/company/pigment
• Twitter: x.com/gopigment

 

18. Ramp

Ramp brings AI into spend management and everyday finance operations. It automates expense submissions and processes bills quickly through accounts payable. The system also helps speed up accounting tasks during the monthly close while running continuous checks on transactions.

Ramp Intelligence performs triple checks around the clock to catch policy violations, errors, or unusual spending. It handles customizable approval flows and card controls so out-of-policy expenses get flagged early. For many teams this quietly removes a fair amount of busywork around compliance and expense tracking.

Key Highlights:

• Automates expense submission and bill processing
• Accelerates accounting tasks in the monthly close
• Runs ongoing checks for policy compliance
• Identifies potential overspending or errors
• Supports customizable approval flows and card controls

Who It’s Best For:

• Startups handling company-wide spending
• SMBs that want simpler expense and bill workflows
• Finance teams managing both expenses and accounts payable
• Companies replacing multiple disconnected finance tools

Contact Information:

• Website: ramp.com  
• Phone: +1-855-206-7283
• Address: 28 West 23rd Street, Floor 2, New York, NY 10010
• LinkedIn: www.linkedin.com/company/ramp
• Facebook: www.facebook.com/rampcard
• Twitter: x.com/tryramp
• App Store: apps.apple.com/us/app/ramp/id1628197245
• Google Play: play.google.com/store/apps/details?id=com.ramp.android.app

 

Conclusion

AI agents have clearly moved past the hype stage and started to settle into real finance work. They handle the repetitive, time-consuming tasks that used to eat up hours - chasing invoices, matching transactions, spotting variances, or pulling together reports. What stands out is how they free up people to focus on the parts that actually need judgment and experience.

Of course, these tools still work best when paired with human oversight. The most effective setups seem to be the ones where agents manage the routine while finance teams stay in control of exceptions and big decisions. As the technology keeps maturing, the line between automation and intelligent assistance will probably blur even more.

In the end, AI agents are becoming a practical part of modern finance operations. They won’t replace the need for skilled professionals, but they do make the daily grind noticeably lighter. Teams that learn to use them thoughtfully will likely find themselves working faster and with fewer errors - without losing the human touch that finance has always relied on.