Agentic AI Services
Agentic AI. From Idea to Production.
The pressure to act is real. The real question isn't whether agents are relevant — it's which processes actually qualify, how to build a pilot that proves value, and how to get from there to production without losing control.
Where You Start
Not every process should be fully autonomous.
The Discovery Workshop's first job is placing your process correctly on this ladder — not pushing everything to the top.
01
Human-Led
Agent drafts, a person does the work. Low risk, low leverage.
02
Human-in-the-Loop
Agent proposes the action, a person approves before it executes.
03
Human-on-the-Loop
Agent acts within guardrails, a person monitors and can intervene. Where most production agents live today.
04
Autonomous
Agent acts and escalates only on exceptions, audited after the fact.
How We Work
Two ways to start. One team, start to scale.
Start Here
We don't know where to start
Which processes are actually a fit for agents — and where is it worth starting? We prioritize by business impact and realistic effort, including integration, evaluation, and operations.
Ready to Build
We know our use case
Success criteria and evaluation frameworks defined before a line of code is written. Harness design precedes implementation — the result is a running agent, not a demo.
Delivery
How a pilot becomes a governed platform.
Architecture & Governance isn't a phase after the pilot — it runs underneath every stage, from the first agent to the fiftieth.
Pilot Implementation
Evaluation criteria and harness design fixed before implementation. A running agent under real conditions.
Output: running agent, documented decisions, test results
Scale-out & Operation
Operating model for parallel agents. Monitoring for correct behavior, not just uptime. Autonomy increased incrementally.
Output: operations documentation, monitoring setup, backlog
Continuous Governance
IAM, tool registry, model & prompt versioning, semantic observability, reusable guardrails, realistic TCO — for every agent on the platform.
Output: architecture concept, governance framework, TCO model
Enablement
Want to build this yourselves? We'll get you there.
Training for Software Engineers
Management Briefing
Governance is standard for us, not decoration.
Why Steadforce
The questions we get asked before every project.
Will we be dependent on you afterward?+
Documented architectures and a team that can keep building are a stated deliverable — not an afterthought.
How is this different from a generic AI consultancy?+
We ship running systems and documented architectures — not just recommendations and roadmap decks.
What does this cost, and how long does it take?+
It depends on scope and starting point — the Discovery Workshop exists to give you a concrete estimate, fast.
Is our organization even ready for this?+
That's exactly what the Discovery Workshop and Management Briefing exist to answer.
Do we need you to keep running it after the pilot?+
No — scale-out and enablement are designed to transfer operation to your team, with our support only where you want it.
What if our compliance requirements are strict?+
Governance, guardrails, and audit trails are built in from day one — not retrofitted after a pilot succeeds.
Where are you starting from?
Tell us what you're trying to solve. We'll identify the right starting point and get back to you within one business day.