Offers

Connect real systems.
Make AI useful.

Intelligrit is built for secure connectors, MCP servers, internal web apps, backend automations, modernization slices, retrieval systems, and bounded AI workflows that need to run inside real customer environments. The point is not novelty. The point is making ugly systems usable with working software.

Connect the ugly thing.Wrap the proprietary, legacy, or awkward system so modern AI workflows can actually use it.
Start with paid discovery when reality is unclear.We buy access to the truth before pretending the scope is known.
Deploy inside your boundary.Connectors, admin layers, and AI workflows should work inside customer environments without unnecessary phoning home.

We connect real systems to useful AI,
then build the software around them.

Agent Integration Sprints

Connect one real system to one useful AI workflow with a secure connector layer, bounded tool access, and an admin surface your operators can actually control.

  • MCP servers, tool layers, and secure integration over real systems
  • Agent-safe read and write paths with bounded access
  • Admin controls, approvals, and practical operator visibility
  • Built for customer-controlled and regulated environments

Rapid Modernization Sprints

Replace a brittle workflow, internal application, or legacy component with a smaller, clearer web or backend system that can actually ship. This is the core of the work we are built to do.

  • Legacy workflow or component to modern web/backend stack
  • Secure-by-default delivery for regulated environments
  • Bounded scope that can move in weeks, not quarters
  • Built for maintainability, not just migration

Secure Internal Web Apps And Backend Automations

Dashboards, portals, workflow systems, APIs, and operational software for teams that need something useful inside their environment, not another drawn-out platform program.

  • Operational dashboards, portals, APIs, and workflow tools
  • Built by a small senior team with AI-native workflows
  • Integrations, backend services, and pragmatic system glue
  • Production-ready, maintainable, and deployable inside customer environments

Legacy Rescue And Compression Assessment

When a system is messy, overbuilt, or poorly understood, start with a short paid assessment that clarifies what exists, what matters, and the fastest sane path forward.

  • Current-state analysis and modernization path
  • Legacy analysis, risk mapping, and scope compression
  • Architecture and implementation options
  • Designed to feed directly into a sprint or rescue effort

Secure RAG And Retrieval In Your Boundary

Ingest documents and system data, structure them, index them, and expose retrieval with citations and permission-aware access inside the customer environment.

  • Document ingestion, chunking, indexing, and retrieval
  • Permission-aware access and citation/traceability layers
  • Deployable in customer-controlled or regulated environments without unnecessary phoning home
  • Useful AI over real internal sources instead of generic chatbot theater

Accessibility And Usability Under Real Conditions

Your users include people who depend on screen readers. Our CEO is blind — he tests with JAWS and VoiceOver every day. You get real accessibility, not a vendor checking boxes to get paid.

  • Section 508 audits by actual screen reader users
  • WCAG 2.1 AAA compliance testing
  • Ongoing accessibility auditing and remediation
  • VPATs, remediation, AI product accessibility

If there is one ugly internal problem that matters, or one ugly system your new AI needs to connect to, that is exactly the kind of work Intelligrit is built for.

Start With One Painful Problem

AI should compress delivery,
not create theater.

For Intelligrit, AI is an execution advantage. It helps a small senior team move faster, test more, and ship tighter systems without pretending effort is the product.

Fast
AI accelerates code generation, testing, documentation, and refactoring so a small senior team can move on the timescale buyers actually need.
Lower Drag
The buyer benefit is not “fewer hours billed.” The buyer benefit is less coordination overhead, less delay, and earlier working capability.
Better Coverage
AI gives us more room for tests, edge-case handling, and documentation instead of forcing quality to lose the time tradeoff.

This Advantage Has To Be Operationalized

AI only matters if it becomes part of a disciplined delivery machine. The point is to turn better internal leverage into faster trustworthy outcomes for customers.