Decigen Consulting & Engineering

From an AI ambition to a system you can defend.

We work with teams who have to answer for what their AI does: to customers, auditors, a board, or the operations people who inherit it. Each engagement is fixed in scope, ends in a deliverable someone can review, and leaves your team able to run the system without us.

Discuss an initiative Read the method

01 · Discover & design

AI Strategy & System Design

Opportunity assessment grounded in your baseline numbers. Agent feasibility, including the case against one. Architecture across data, tools, policy and oversight. A roadmap sequenced by evidence, not by enthusiasm.

02 · Build & integrate

AI Engineering & Implementation

Agents and intelligent workflows with typed state and bounded loops. Retrieval with provenance and trust labels. Tool integrations with narrow schemas and idempotent writes. Deployment architecture that your platform team will recognize.

03 · Verify & operate

Evaluation & Production Engineering

Evaluation suites built from real cases, not synthetic averages. Action authorization and approval design. Observability that records what the system proposed, what was allowed, and what happened. Release gates and incident replay.

Engagements

Three ways to start, each with a defined end.

Scope, acceptance criteria and commercial terms are agreed in writing before work begins.

Before you commit a team

Architecture & Opportunity Sprint

We take one candidate use case from ambition to a decision. You leave with a measured baseline, a classification of every action the system would take, an autonomy recommendation, a system blueprint, and a roadmap. Sometimes the recommendation is a deterministic workflow, and we say so.

Problem statement and baseline metrics
Action risk classification
System blueprint and roadmap

When the design is settled

Agent System Proof of Value

We build the system against representative tasks from your operation, with acceptance criteria agreed before the first commit. The result is a working system, a trace record of every run, and an evaluation report you can take to the people who have to approve it.

Working system on your tasks
Evaluation suite and trace records
Go, no-go or redesign recommendation

Before you remove the human from the loop

Production Readiness Review

We review an existing agent or workflow against authority, containment, durability, evaluation and operational obligations. You get a ranked list of evidence gaps, the controls that close them, and a promotion plan for the autonomy level you are aiming for.

Evidence gap register
Control recommendations
Autonomy promotion plan

How we work

Rules we hold ourselves to.

Baseline first.
We will not estimate the value of a system until we have measured the process it replaces.
Least autonomy that works.
We recommend the simplest architecture that meets the bar, and we document what evidence would justify more.
Your stack, your ownership.
We build on the platforms you already run and hand over code, tests, traces and the blueprint. No proprietary runtime.
Nothing irreversible without a gate.
Payments, deletions, external messages and record changes get an explicit approval path or a demonstrated case for not needing one.