Service
Agentic Engineering
For engineering and technology leaders
Bring AI agents into your team's delivery workflow. Set their limits. Keep people in charge of quality and release.
A task moves through agent matching, agentic work, build and test, and pull-request preparation. A human developer reviews the pull request and supporting evidence before approval. Developer feedback goes to Refine agent, then returns to Agentic work under the same governance and guardrails. Scope, permissions, and checks apply to agent matching, agentic work, build and test, PR preparation, and refinement.
ScopePermissionsChecks
- Task created
- Agent matched
- Agentic work
- Build + test
- PR ready
- Dev review
Fit
Is this for you?
- AI tools have not improved delivery.
- Review, testing, or release slows the team down.
- Agent use has no shared rules.
What this service does not cover
- A tool rollout without workflow changes
- Agents releasing code without human approval
- Judging success by code volume
Your first step
Start with one bottleneck.
We assess the workflow, tools, checks, and team roles. You get a recommendation and a pilot plan.
Paid. Fixed scope. No obligation to continue.
Blueprint terms and ownership
The Agentic Engineering Blueprint is a paid, fixed-scope, standalone engagement. We examine the delivery workflow, repository, tools, quality checks, permissions, and team roles. You own the client-specific Blueprint outputs. Aqlumen retains its assessment methods, scoring logic, templates, and generic patterns. The agreement defines your rights to use any included reusable components. A pilot is a separate decision.
Your next decisionPilot, prepare, change direction, or stop.
Read the Blueprint guideWhat you get
- 01Delivery workflow map
- 02Tools and risk review
- 03Human and agent roles
- 04Pilot and measurement plan
Delivery
Build with clear controls.
Named people approve releases and high-impact actions. Production and high-impact work need qualified independent human review.
Delivery steps and handover
We agree training, operating documentation, and handover with your team.
- 01
Find the bottleneck
Find where delivery slows down and choose one problem to test.
Workflow and bottleneck map - 02
Set up the agents
Agree on instructions, permissions, tools, and work environments.
Tools, permissions, and environment limits - 03
Check before release
Set the tests and reviews required for human release approval.
Test results and release-decision record - 04
Train the team
Train developers and reviewers. Document roles, support, and handover.
Roles, training, and operating guide
Fictional example: An AI-made fix fails a check and waits for review.
In this fictional example, a team asks an AI agent to fix a form that submits twice. The agent may only work on that form, in a test copy of the code.
- 01
Set the task
Reproduce the double submission and stop repeated requests. Keep the form working as before. Make no unrelated changes.
- 02
Set the limits
The agent can edit the agreed files and run tests. It cannot reach live data, passwords, or keys, and it cannot release anything.
- 03
Test the result
The repeated-click test passes, but the keyboard test fails. The reviewer records the failure against that version of the change.
- 04
A person decides on release
The release owner holds the change. After the developer fixes it, a second qualified reviewer checks it before the owner on the client's side can approve release.
Fictional walkthrough. It does not show client work or measured results.
After the Blueprint
Test one workflow.
A pilot is a separate decision, with named owners, agreed measures, and clear success and stop conditions.
Pilot scope, measures, and responsibilities
Pilot scope
- One engineering team
- One codebase, product area, or workflow
- One or two repeat tasks
- Approved tools, accounts, data, and environments
- Current measures and a comparison plan
- Success and stop conditions, escalation, and client owners
Possible measures
Chosen together during the Blueprint. Activity alone does not prove value.
- Time to an accepted change
- Review waiting time
- Test reliability and bugs reaching users
- Release failures and recovery time
- Agent success, retries, and human intervention
- Team skill, confidence, and cost per accepted change
What we need from you
- One workflow and its current delivery and quality measures
- Approved access to code, tools, checks, and environments
- Limits on code, data, secrets, licenses, releases, and operations
Who is involved
- Your engineering sponsor and day-to-day owner
- Developers, reviewers, code owners, and release owners
- Security, technical, platform, and operations reviewers where needed
Before going ahead
- The workflow is useful, bounded, and safe enough to test
- Tools, accounts, permissions, and quality checks are approved
- Success, stop conditions, escalation, release, support, and handover are agreed
Talk to Aqlumen
Start with your problem.
Tell us what you want to improve. We can discuss whether a Blueprint fits.