AI Agents, Engineered — Not Improvised

Agents are only useful when they behave like operational systems: scope, guardrails, escalation, and logs.

What an AI agent is

An AI agent is a workflow worker: it takes input, follows your rules, produces controlled output, and escalates when it should.

The four agent types we build most often

Triage & Routing

turns inbound requests into structured tasks, assigns owners, sets priority, enforces required fields.

Knowledge

answers internal questions from approved documents with strict boundaries.

Operations

drafts summaries, internal updates, customer replies, quote drafts, weekly digests within your rules.

Quality Control

checks content/data against standards (missing fields, risky wording, inconsistent pricing, compliance flags).

What makes our agents reliable

Bounded scope: job description, not personality

Escalation rules: when uncertain, it asks or hands off

Logging & audit trail: review what happened and why

Access control: only approved tools and data sources

Acceptance tests: agreed test cases before “live”

Continuous tuning: updates as your business evolves

What we will not promise

“Autonomous employee replacement”

Uncontrolled actions without approval for sensitive workflows

Magic outcomes without data and process ownership

Book a Paid Discovery Sprint

In 7–10 working days you’ll have a complete spec, success metrics, acceptance tests, and a fixed build plan.

Reliability

  1. Guardrails (hard rules)
  2. Escalation (the brakes)
  3. Logging (audit trail)
  4. Acceptance tests (go-live criteria)
  5. Operations (ongoing alignment)

Start with Discovery

Book the Discovery Sprint

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Confidentiality by default. Practicality by design.
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