AI Integration & Automation

Put AI to work in your actual workflows.

We skip the demos and build AI that works in your real workflow — grounded in your data, constrained to your use case, and observable by your team.

What you get

  • AI features grounded in your specific data and policies
  • Measurable reduction in manual processing time
  • Guardrails that keep the AI on-task and safe
  • Admin visibility into AI behavior and outputs
  • Seamless integration with your existing tools

How we work

  1. 1

    Use Case Audit

    We identify which workflows benefit most from AI and which are better left manual.

  2. 2

    Data Assessment

    We evaluate your existing data quality and identify gaps before building.

  3. 3

    Prototype

    We build a constrained pilot to validate accuracy and usefulness before full build.

  4. 4

    Integration

    We connect the AI layer to your existing systems via APIs or direct integration.

  5. 5

    Monitoring

    We instrument the system so you can observe outputs and catch drift.

Common questions

Do I need a lot of data to get started?

Not necessarily. We can work with structured documents, policies, or curated knowledge bases. We assess feasibility first.

What if the AI gives wrong answers?

We build guardrails and grounding constraints from the start. We also provide monitoring so you catch errors before they multiply.

Which AI models do you use?

We select based on your requirements — cost, privacy, accuracy, and latency all factor in. We work with Google Gemini, OpenAI, and open-source options.

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