Why Gatitaa
WHY GATITAA
Fintech Experience.
AI that Reaches Production.
For financial institutions, a successful AI initiative must fit real workflows, connect to existing systems, and stand up to operational scrutiny. Gatitaa brings together 20+ years of founder experience, active enterprise AI implementation, and U.S.-led engineering delivery to move your business from idea to operational value.
20+ years of founder experience · Active CheckAlt AI engagement · U.S. leadership + India engineering
You Need a Partner Who Understands What Happens After the Demo.
Payments must reconcile. Exceptions need owners. Client onboarding has dependencies. Legacy systems cannot simply stop. We plan AI around these realities—and stay accountable for the architecture, integration, deployment, and handover that make it useful.
01 / Financial operations experience
Our founder brings more than two decades of technology experience, including 19 years at Fiserv, progressing to Director of Software Engineering. That background includes payment platforms, merchant integrations, reconciliation, production operations, and enterprise delivery.
What this means for you: discovery starts with your operating constraints and business workflow.
02 / A path from POC to production
We connect proof-of-concept work to production requirements: realistic evaluation, integrations, access controls, human approvals, exception handling, monitoring, deployment, and support ownership.
What this means for you: a successful demonstration has a defined next step toward daily use.
03 / Senior ownership, scalable delivery
U.S.-based leadership works with your business and technology stakeholders. Our India engineering team adds implementation capacity, with shared plans, documentation, reviews, and clear responsibility.
What this means for you: senior accountability with a delivery model sized to your needs.
04 / Your team becomes stronger
Architecture decisions, runbooks, practical workshops, and knowledge transfer are part of the delivery conversation. We define ownership and support expectations at the start.
What this means for you: your people can understand, operate, and extend the solution.
Active Enterprise AI Delivery: CheckAlt
Gatitaa TechHub is an active AI implementation partner for CheckAlt, a U.S. payment processor, with an engagement that began in May 2026.
Our work includes designing and implementing AI agents and automation for financial operations, using capabilities such as AWS Bedrock and retrieval-augmented generation. The engagement gives our team direct experience with enterprise integrations, stakeholder coordination, and the practical work of moving AI into operational use.
We bring that delivery discipline to your engagement: select a valuable workflow, establish how success will be measured, and build a controlled path to production.
Build, Buy, or Combine Both? Start With the Business Decision.
The right answer depends on workflow fit, data requirements, integration effort, time to value, and the full cost of operating the solution. We help you compare the options before committing to a platform or a custom build.
Build in your environment
Best fit: differentiated workflows, complex integrations, or a need for greater control.
We develop agents and automation in your approved cloud or on-premises environment, subject to infrastructure and model compatibility. We agree source-code rights, access, deployment, and support responsibilities up front.
Adopt a SaaS solution
Best fit: a repeatable need that an existing product meets well.
We assess product fit, configure and integrate the solution, and plan rollout. SaaS availability, hosting, data handling, subscriptions, and support terms are confirmed during discovery.
Combine software + custom integration
Best fit: standard capabilities with business-specific exceptions.
Use a suitable platform for common functions, then build the connectors, workflows, and controls your operation needs. Keep custom development focused on the gaps that matter.
Our decision criteria: functional fit, data access and retention, evaluation quality, implementation time, integration complexity, total operating cost, maintainability, and exit options.
Three Ways to Engage Gatitaa
01 / Build & deploy
A scoped delivery engagement for custom AI agents, document processing, integrations, and workflow automation.
You receive: an agreed architecture, implementation, testing, deployment plan, operating documentation, and handover.
02 / Software as a service
A subscription approach for suitable repeatable workflows, with configuration and integration scoped around your business.
You receive: an agreed software capability, onboarding plan, service boundaries, and support terms. Product availability and requirements are assessed first.
03 / Lead & accelerate
Fractional CTO or AI leadership, practical training, modernization planning, and hands-on onboarding delivery alongside your team.
You receive: accountable expertise and an agreed work plan without immediately building a complete internal function.
Choose The Outcome You Need
AI implementation
Turn one high-value workflow into a deployable solution. Connect agents to approved data and systems, evaluate their outputs, and define human review for consequential actions.
Training & workshops
Help executives choose credible use cases and help engineers build safely. Sessions use relevant workflows and can produce a prioritized use-case list, practical lab, or implementation plan.
Fractional CTO & AI leadership
Bring senior guidance to architecture, vendor selection, delivery planning, governance, and engineering reviews. Give internal teams and vendors one clear technical direction.
Legacy modernization
Map dependencies, choose manageable migration stages, and plan coexistence, testing, reconciliation, and rollback. Improve systems while protecting continuity of financial operations.
Faster client & merchant onboarding
Coordinate requirements, file and API mappings, integration development, testing, exception resolution, and go-live readiness. Reduce avoidable handoffs and clarify who owns each blocker.
Document & operations automation
Connect extraction and validation to the downstream workflow, with review queues for exceptions. Measure handling time, rework, and output quality against the current process.
A Clear Route From First Conversation to Production
1. Find the value
Choose a workflow. Understand its users, data, dependencies, baseline performance, and business owner.
2. Prove the approach
Compare build and buy. Test feasibility and agree measurable acceptance criteria before scaling investment.
3. Prepare for production
Integrate, evaluate, test controls, assign support ownership, and define deployment and rollback steps.
4. Launch & improve
Roll out in stages, train users, monitor results, and prioritize improvements using operational feedback.
Measure what matters: onboarding cycle time, manual handling effort, exception volume, rework, adoption, and operating cost. Targets are agreed against your baseline; improvements are validated after rollout.
Engineering Depth Behind the Delivery
We select technologies to fit your environment and requirements. The value is in how they work together across a complete financial workflow.
AI & ML Engineering
- Agentic AI & Multi-Agent Systems
- AWS Bedrock · Claude · OpenAI
- RAG Pipelines & Vector Search
- LangChain / LangGraph
- LLM Evaluation, Guardrails & Observability
- PII Detection & Redaction
Languages & Frontend
- TypeScript / Node.js · Python
- C# / .NET Core · Java
- React.js / React Native
- REST / GraphQL API Design
- Structured Output Validation
Cloud & Architecture
- Microservices & Event-Driven Architecture
- AWS Lambda · ECS · SQS · API Gateway
- DynamoDB · PostgreSQL · SQL Server
- Docker · Kubernetes
- Terraform · CI/CD (Infrastructure as Code)
Security & Compliance
- PCI-DSS · SAST / DAST
- Multi-State Money Transmitter (MTL) Audit Support
- Independent external audits
- Zero critical vulnerabilities
Bring us One Workflow That Needs to Work Better.
Whether you need to deploy AI, enable your team, modernize a platform, or unblock client onboarding, start with a focused conversation. We will discuss the business problem, your existing environment, and a practical next step—including whether to build, buy, or combine both.
U.S. headquarters: Frisco, Texas · Engineering delivery: India