# Maisa

> Maisa builds hallucination-resistant AI Digital Workers that run regulated enterprise work end to end, prove every step, and leave you owning the process.

Maisa Studio, powered by the KPU (Knowledge Processing Unit), lets business teams build, deploy, and govern their own Digital Workers for mission-critical workflows in banking, insurance, engineering, manufacturing, and other regulated industries. Every action is transparent, auditable, and traceable through a full chain of work.

## Main pages
- [Home](https://maisa.ai/): Deploy AI with confidence in regulated industries. Maisa's Digital Workers automate your most demanding processes, reliably, traceably, and auditably.
- [Product](https://maisa.ai/product): The AI platform where business teams build their own Digital Workers with Maisa Studio. Scalable, governed, and ready for the enterprise.
- [Use Cases](https://maisa.ai/use-cases): See how Maisa AI's digital workers automate compliance-heavy workflows in banking, insurance, supply chain, and beyond. Real enterprise AI use cases.
- [Blog](https://maisa.ai/blog): Expert articles on agentic AI, digital workers, cost control, and enterprise automation trends.
- [Careers](https://maisa.ai/careers): Explore open roles at Maisa and help design accountable, enterprise-grade AI Digital Workers. Grow your career in a fast-moving, global team.
- [Contact](https://maisa.ai/contact): Get in touch with Maisa AI to explore Digital Workers, book a demo, discuss partnerships, or get support from our team.

## Industries
- [Banking & Financial Services](https://maisa.ai/industries/banking-financial-services): Reliable AI for banking and finance: Maisa's Digital Workers give banks and financial institutions a competitive edge in their markets.
- [Insurance](https://maisa.ai/industries/insurance): Digital Workers help insurers move faster and stay compliant across the policy lifecycle.
- [Engineering & Infrastructure](https://maisa.ai/industries/engineering-infrastructure): Helping engineering and infrastructure teams streamline operations, improve safety and compliance, and deliver value from design to maintenance.
- [Manufacturing](https://maisa.ai/industries/manufacturing): Eliminate bottlenecks, improve accuracy, maintain compliance, and move faster from planning to production to delivery with Digital Workers.

## Use Cases
- [Auto-Loan Processing Automation](https://maisa.ai/use-cases/auto-loan-processing): A top-20 global bank deployed Digital Workers to handle document review, fraud detection, and deal structuring across auto loan origination, cutting time-to-fund from 4-5 days to 2 hours while processing over 23,000 loans monthly.
- [FNOL Claims Transformation](https://maisa.ai/use-cases/fnol-transformation): A leading European insurer deployed a FNOL Digital Worker that turns a claim into a validated case file without human intervention, cutting triage from hours to minutes and processing 98% of claims straight through.
- [Power of Attorney Automation](https://maisa.ai/use-cases/power-of-attorney-verification): After struggling with low automation accuracy and heavy manual review in loan applications, this leading European bank used Maisa to revolutionize intelligent document processing and boost customer satisfaction.
- [Tax Withholding Reconciliation Automation](https://maisa.ai/use-cases/tax-withholding-reconciliation): A European investment firm automated its annual tax withholding reconciliation with Maisa Digital Workers, matching fund data and counterparty certificates with faster cycles and complete auditability.
- [Deceased Account Processing Automation](https://maisa.ai/use-cases/deceased-account-processing): A leading retail bank automated deceased account processing with Maisa Digital Workers: certificate verification, account closure and family contact now run end to end with full regulatory assurance.
- [Correspondent Account Transaction Reconciliation Automation](https://maisa.ai/use-cases/correspondent-account-transaction-reconciliation): A major financial services provider automated transaction reconciliation with Maisa Digital Workers, clearing thousands of false-positive mismatches with faster exception handling and higher accuracy.
- [Adverse Media Screening Alerts Review Automation](https://maisa.ai/use-cases/adverse-media-screening-alerts): A global corporate and investment bank automated adverse media alert reviews with Maisa Digital Workers, turning a slow manual process into fast, consistent, policy-aligned decisions with full traceability.
- [O2C & P2P Automation](https://maisa.ai/use-cases/o2c-p2p): By replacing rigid RPA and unreliable AI tools with hallucination-resistant Digital Workers, this enterprise transformed billing, payments, and financial operations with scalable, trustworthy automation.
- [Fund Performance Reporting Automation](https://maisa.ai/use-cases/fund-performance-reporting): A global investment bank automated fund performance reporting with Maisa Digital Workers, replacing manual data extraction and consolidation with compliant, audit-ready reports delivered in minutes.
- [Subpoena Request Intake Automation](https://maisa.ai/use-cases/subpoenas-requests-intake): A leading financial institution restructured subpoena and legal request management with automated intake and processing, replacing a manual, cross-department process prone to delays and compliance risk.
- [RFP Response Generation Automation](https://maisa.ai/use-cases/rfp-response-generation): A leading financial institution transformed RFP management with intelligent workflows that search internal documentation, generate compliant answers, and deliver ready-to-submit drafts in hours instead of days.
- [Supply Chain Task Resolution Automation](https://maisa.ai/use-cases/supply-chain-task-resolution-automation): A global manufacturing leader transformed its exception handling workflow by deploying Digital Workers to automate supply chain task resolution, achieving dramatic gains in speed, accuracy, and capacity.
- [Equity Research Automation](https://maisa.ai/use-cases/equity-research-investment): A leading investment management group automated the extraction and structuring of insights from broker reports, turning unstructured content into actionable intelligence in minutes and enabling analysts to focus on high-impact investment strategy.
- [Certification Generation for Electricity Network Maintenance](https://maisa.ai/use-cases/certification-generation): A global energy and utilities company transformed its electricity network maintenance by automating certification generation, removing manual bottlenecks and speeding up billing cycles.
- [Trade Finance Process Automation](https://maisa.ai/use-cases/trade-finance-processing): A leading global bank's Corporate and Investment Banking division transformed one of its hardest processes to automate.
- [New Client Onboarding Automation](https://maisa.ai/use-cases/new-client-onboarding): A global financial institution automated client onboarding with Maisa Digital Workers: documents are classified, analyzed and processed automatically, cutting activation time and improving accuracy across regions.

## Solutions & Concepts
- [Agentic Process Automation](https://maisa.ai/landings/agentic-process-automation): Advanced automation powered by AI Agents to handle complex, dynamic business processes.
- [Chain of Work](https://maisa.ai/landings/chain-of-work): Chain of Work makes AI execution deterministic, traceable, and transparent, eliminating guesswork and enabling reliable, auditable automation at scale.
- [Agentic AI](https://maisa.ai/landings/agentic-ai): The shift from reactive AI to proactive, autonomous agents.
- [AI Agents](https://maisa.ai/landings/ai-agents): AI Agents explained: what they are, how they work, and why they matter for automation.
- [AI Computer](https://maisa.ai/landings/ai-computer): A new computing paradigm where AI acts as the core orchestrator, managing tools, data, and tasks to deliver real outcomes, not just answers.
- [AI Hallucinations](https://maisa.ai/landings/ai-hallucinations): AI hallucinations occur when models generate plausible but false information. Learn why they happen and how to reduce them for more reliable AI outputs.
- [Digital Workers](https://maisa.ai/landings/digital-workers): AI Agents built for business processes that adapt, collaborate, and operate with full accountability and transparency.

## Blog
- [Maisa x Santander: 6 Lessons from Scaling AI Inside a Large Global Bank](https://maisa.ai/blog/maisa-x-santander): Exploring the organizational and operational challenges of deploying AI systems responsibly within regulated financial institutions.
- [Maisa Named as a Front Runner in Gartner’s “Emerging Tech: AI Vendor Race – Startups to Watch in Agentic AI” Report](https://maisa.ai/blog/startups-to-watch-in-agentic-ai-gartner): Maisa recognized as a front runner among agentic AI startups by Gartner's latest vendor evaluation report.
- [Maisa Wins the Rising Star Award at Deloitte’s Technology Fast 50 Spain](https://maisa.ai/blog/maisa-wins-deloitte-rising-star-award): Maisa receives Rising Star recognition from Deloitte for sustained growth and innovation in enterprise AI technology.
- [How Maisa Digital Workers Actually Work?](https://maisa.ai/blog/how-maisa-digital-workers-actually-work): Maisa Digital Workers generate case-specific code at runtime to handle process exceptions and compliance requirements without pre-built workflow paths.
- [Why Maisa Is Not an n8n-like tool or RPA+ AI](https://maisa.ai/blog/why-maisa-is-not-an-n8n-like-tool-or-rpa-ai): Maisa's runtime process formation and execution-backed verification differ fundamentally from n8n's design-time workflow orchestration model.
- [Agentic AI Cost Control: The Enterprise Leader’s Guide to Avoiding “Surprise Opex” at Scale](https://maisa.ai/blog/agentic-ai-cost-control): Enterprises can control agentic AI costs by measuring usage at the workflow level and implementing governance before scaling adoption.
- [What is business process automation (BPA)?](https://maisa.ai/blog/business-process-automation): Streamlining operations through AI-powered automation of repetitive tasks and workflows.
- [Agentic AI vs RPA: differences, similarities, and examples](https://maisa.ai/blog/agentic-ai-vs-rpa): Agentic AI and RPA represent different automation philosophies, with AI handling complex adaptive workflows while RPA executes predefined tasks efficiently.
- [Rising star of agentic AI delivering trustworthy ‘digital workers’ raises $25M from Creandum and Forgepoint](https://maisa.ai/blog/maisa-raises-25m-from-creandum-and-forgepoint): Maisa secures $25M in funding to expand its AI agent platform enabling non-technical users to build trustworthy digital workers.
- [Maisa raises $25M seed investment](https://maisa.ai/blog/maisa-raises-25m-seed-investment): Maisa secures $25M seed funding to scale accountable AI technology for enterprise automation.
- [Maisa Studio on AWS Marketplace: removing barriers to AI adoption](https://maisa.ai/blog/maisa-studio-on-aws): Maisa Studio launches on AWS Marketplace to simplify enterprise adoption of transparent, accountable AI agents.
- [CLATTER: Academic Validation for Our Maisa AI Hallucination Detection Strategy](https://maisa.ai/blog/clatter-hallucination-detection): Academic research validates Maisa AI's systematic approach to detecting and preventing AI hallucinations in enterprise applications.
- [HALP: Maisa’s breakthrough in delivering reliability for enterprise automation](https://maisa.ai/blog/halp): Maisa introduces HALP, a method enabling AI systems to learn from real business work without traditional retraining cycles.
- [Why we built Maisa this way: scientific proof we’re on the right track](https://maisa.ai/blog/science-behind-maisa-architecture): Maisa's architecture combines code execution with reasoning loops to overcome fundamental limitations of language models.
- [Advancing our vision for Accountable AI together with Microsoft](https://maisa.ai/blog/microsoft-partnership): Maisa becomes a Microsoft Strategic Partner and joins the Founders Hub to advance trustworthy, explainable AI automation.
- [Black Box AI. How can we trust what we can’t see?](https://maisa.ai/blog/black-box-ai): Opaque AI systems pose accountability and trust challenges that businesses can address through transparent, computation-based approaches rather than probabilistic models.
- [Making AI accountable: Maisa raises pre-seed round](https://maisa.ai/blog/maisa-raises-pre-seed-round): Maisa secures $5 million pre-seed funding to advance accountable AI systems for enterprise automation.
- [Introducing Vinci Knowledge Processing Unit (KPU)](https://maisa.ai/blog/vinci-kpu): Maisa AI announces Vinci KPU v2, an advanced knowledge processing system that matches leading LLMs on challenging benchmarks while addressing inference compute and scalability limitations.
- [Introducing Maisa, a new AI architecture](https://maisa.ai/blog/hello-world): Maisa introduces KPU, an architectural framework that addresses fundamental limitations of large language models through decoupled reasoning and execution components.

## Optional
- [Terms and Conditions](https://maisa.ai/legal/terms-of-service): Terms and conditions governing access to and use of Maisa's services.
- [Privacy Policy](https://maisa.ai/legal/privacy-policy): How Maisa collects, uses, and protects personal data.
- [Cookie Policy](https://maisa.ai/legal/cookie-policy): How maisa.ai uses cookies and how to manage them.
- [Legal Notice](https://maisa.ai/legal/legal-notice): Ownership, conditions of access, and terms of use of the maisa.ai website.