ufactor.ai
How we work

How we help you move from assessment to trustable agents.

You don't have to commit to a full build to get started. Most companies begin with the assessment, prove value on one workflow, and fund the next step from the result. Every stage is scoped, implemented, and evaluated before moving to the next.

The journey · five stages
01
Start here

Assess & train

AI Assessment & Foundation Training

We align leadership and teams on what agents really are, map your high-friction workflows, and surface risks and governance needs — and we train your people along the way.

You get
Workflow opportunity shortlist
Leadership & team training
Risk & governance read
02

Map opportunities

Workflow Opportunity Map

We score the candidate workflows by value, feasibility, and risk, then agree the shortlist worth prototyping first — so investment follows evidence, not enthusiasm.

You get
Value / feasibility scoring
Prioritized shortlist
Recommended first workflow
03

Prototype workflow

Workflow Prototype Sprint

We build a working prototype of one prioritized workflow, on your real data, so the value is something you can see and pressure-test — not a slide or a sandbox demo.

You get
Working prototype on your data
Value read-out
Build-or-not recommendation
04

Build production agent

Production Agent Build

We harden the prototype into a production system: integrations, human-in-the-loop controls, observability, evaluation, governance, and secure deployment.

You get
Hardened, integrated agent
Controls & observability
Secure deployment
05

Operate & improve

Fractional Lead AI Architect / Retainer

We stay close — monitoring, evaluating, and improving your agents, and guiding the next workflow as a fractional Lead AI Architect.

You get
Monitoring & evaluation
Ongoing improvement
Roadmap for what's next

We don't sell every stage as one giant program. We sell the next stage you can deliver and measure — and use the result to fund the one after.

See what each stage costs to engage
Production-grade

Built for production, not just the demo.

A flashy demo is easy. An agent your operations can rely on — that a finance leader, an auditor, and your IT team all sign off on — is the hard part. It's the part we're built for.

01

Human-in-the-loop controls

People stay in control of the decisions that matter — approvals, exceptions, and anything irreversible.

02

Scoped tool permissions

Agents act only within the systems and actions you authorize. Least-privilege by default.

03

Retries & checkpoints

Work resumes cleanly after a failure instead of starting over — no silent half-finished runs.

04

Observability

Every step is traced. When something looks off, you can see exactly what the agent did and why.

05

Evaluation

Agents are measured against real cases before and after release — quality you can defend, not vibes.

06

Governance & auditability

Decisions, inputs, and outputs are logged. A reviewer or auditor can follow the whole trail.

07

Integrations with your systems

We connect to the tools and data you already run — not a parallel world your team has to babysit.

08

Secure deployment

Deployed with your data residency, access, and compliance constraints designed in from day one.

Our rule
No agent goes live without controls, evaluation, and an audit trail. If it can't be trusted in production, it isn't done.
Start here

Book an AI Workflow Assessment.

A focused starting point. We look at where your team loses time today, where AI agents are safe and valuable, and what the right first step is — with no pressure to commit to a build.

Contact us Explore the offers