T E K D E X

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TekDex is a technology-driven consulting and engineering company. We build agentic AI, cloud-native platforms and ServiceNow solutions for enterprises worldwide.

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Agentic AI Systems

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Agentic AI

Agentic AI Systems

An agent is not a chatbot with extra steps. It plans, chooses tools, calls your systems and keeps going until a task is actually done — which means the hard parts are permissions, failure handling and knowing when to stop, not the prompt.

We build agents that operate inside real boundaries: an explicit tool list, scoped credentials, budget and step limits, and a human checkpoint wherever the blast radius justifies one. Then we prove it works against a fixed set of cases before it touches anything that matters.

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What You Get

Three things every agent we ship comes with.

  • An explicit tool contract — what it may call, and with whose permissions
  • An evaluation suite that runs before every release, not after incidents
  • Step, cost and time budgets, with a hard stop and a human handoff

Agents fail in ways ordinary software does not: quietly, plausibly, and at 3am. So we instrument every run — the plan, the tool calls, the retries and the cost — and put that trace somewhere your team can read it without asking us.

Technical Questions, Answered

By constraining what it can reach rather than trusting it to behave. Agents get a fixed tool list, scoped credentials, and budget limits on steps, time and spend. Anything destructive or irreversible sits behind an explicit human approval step.
It means the agent has a evaluation suite it must pass before release, full run tracing you can inspect, defined failure behaviour, and a rollback path. A demo that works on your five favourite examples is not production-ready.
We agree a task set with you up front — real cases, including the awkward ones — and score against it. That set becomes the regression suite, so you can see whether a model or prompt change made things better or worse.
The evaluation suite catches it. Model providers deprecate and update constantly; because your behaviour is pinned to a scored task set rather than a vibe, a regression shows up as a number before it shows up as an incident.