tekvo
Service · Flagship

Building agentic systems

Agentic engineering is how a company leaves the dinosaur age. An agent is not a prompt — it is a bounded actor with tools, memory, policy, and a scoreboard. We engineer all five and wire them into the systems your business already runs on, at a size a mid-market company can actually fund.

7 wks
Median first agent in production
98%+
Eval pass gate before release
100%
Runs with an immutable trace
−61%
Typical cost per task after tuning

The agent lifecycle we run

Every stage has an exit criterion. You never fund the next one on vibes.

  1. STAGE 01

    Workflow forensics

    Shadow the humans doing the job today and find the decision points worth automating.

    exit: baseline metrics
  2. STAGE 02

    Eval harness first

    A golden set from real cases, scored, before a single line of agent code.

    exit: scored golden set
  3. STAGE 03

    Thin vertical slice

    One path, real tools, real data, tightly bounded autonomy.

    exit: passes eval gate
  4. STAGE 04

    Supervised rollout

    Human approval on every action, shadow mode alongside the existing process.

    exit: 2 wks clean
  5. STAGE 05

    Autonomy dial-up

    Widen permissions per capability, backed by monitoring and instant revocation.

    exit: SLOs held

Guardrails, by default

Autonomy is a dial, not a switch. Each capability an agent holds is granted explicitly, logged immutably, and revocable in one call.

  • Capability grants, not blanket access

    Each tool is permissioned individually with its own limits and approval thresholds.

  • Deterministic escape hatches

    Low confidence, unknown entities, or PII route to a human path — never to a guess.

  • Immutable traces

    Every input, tool call, and output retained and replayable for audit and incident review.

  • Budget ceilings per run

    Steps, spend, and wall-clock are hard-capped. Runaway loops fail closed.

  • Regression gates in CI

    A prompt or model change that drops the golden-set score does not merge.

policy.yaml — capability grants
agent: refund-resolver
autonomy: supervised
tools:
  - ledger.read // unrestricted
  - ledger.refund // ≤ $250, human ≥ $250
  - crm.note.write
escalate_on: [pii_detected, low_conf]
retention: 400d immutable trace

Where agents pay for themselves in month one

FAQ

Questions we get before the first sprint

What is an agentic system?

An agentic system is a bounded software actor that plans, calls typed tools, keeps state between runs, operates under an explicit policy, and is scored against a golden set. It is not a prompt and not a chatbot — the five engineered parts are what make it deployable in production.

How long does it take to get an agent into production?

Seven weeks is our median from kickoff to a supervised agent running in production. The first two weeks are workflow forensics and an eval harness; the agent itself is built against a scored golden set, then rolled out under human approval before autonomy is widened.

How do you stop an agent doing something it should not?

Autonomy is a dial, not a switch. Every capability is granted explicitly with its own value ceiling and approval threshold, low-confidence or PII cases route deterministically to a human, budgets for steps and spend are hard-capped so runaway loops fail closed, and every grant is revocable in one call.

Who owns the code and the infrastructure?

You do. Everything runs in your cloud account and lands in your repository from day one. Tekvo operates it for as long as you want us to, and every engagement ends with handover documentation your engineers can act on.

Still running the business on software from the dinosaur age?

Two-week scoping sprint, fixed fee, priced for a mid-size company. You keep the architecture either way.

Let's talk