Production AI services

Choose the smallest useful intervention for the workflow in front of you.

Start with a fast launch decision, harden one known reliability gap, or connect a proven workflow to the systems your team runs. Every engagement has a defined outcome, visible evidence, and a handover boundary.

Get the free 5-minute gap profile Talk through the fit

48h: Fastest decision
$4.5K: Core sprint
Fixed: Scope before delivery

Engagement chooser

Match the intervention to the constraint

Fixed scope

01
Launch confidence
48-hour readiness review
02
Release control
AI Reliability Sprint
03
Real-system workflow
Custom integration

Choose the smallest useful move; these are entry points, not a required sequence

Choose by situation

The right service depends on the decision you need to make.

You do not need to buy a larger engagement to get started. Bring one workflow, one constraint, and the people who own the outcome.

Fast entry offer

48-hour Launch Readiness Review

$750 to $1,500

48-hour readiness report

For this situation

You shipped quickly with AI coding tools and need a clear, plain-English answer on whether it is actually ready for real users.

Outcome

A plain-English go, conditional-go, or no-go decision with the fixes ranked by severity.

See the full scope

Core engagement + optional retainer

AI Reliability Sprint

$4,500 sprint

Focused sprint, then optional retainer

For this situation

You already built an agent or LLM workflow, but it is not safe or predictable enough to put in front of customers.

Outcome

A defensible release decision backed by evaluations, controls, and an owned recovery path.

See the full scope

Build project

Custom AI Workflow Integration

$10,000 to $35,000

Milestone-based project

For this situation

You have real data and manual work, and you need AI that plugs into how the business already runs.

Outcome

One production workflow connected to the tools your team already operates.

See the full scope

What stays with you

Evidence your team can use after the work is done.

Each service creates a concrete record of what was checked, what changed, and who owns the next decision.

Representative findings report

Launch readiness summary

Conditional go

01Critical user flows exercised
02Service configuration checked
03Fix order ranked by impact

Illustrative preview · findings come from your deployed product

You receive: Plain-English readiness report, severity ranking, prioritised fix list, evidence, and a 15–20 minute walkthrough.

Not: A formal penetration test · Regulatory certification · Implementation of every finding

Representative release gate

Production readiness profile

Decision: conditional

01Representative evaluation set
02High-impact failure paths classified
03Release criteria and owner assigned

Illustrative preview · evidence is built from your workflow

You receive: Failure-path audit, evaluation framework, guardrails, observability, release criteria, and an optional ongoing support plan.

Not: A model benchmark with no release decision · Unlimited feature development · A promise that an AI system can never fail

Representative systems map

Workflow control path

Bounded build

01Trigger and source data mapped
02Human approval boundary defined
03System action and recovery path owned

Illustrative preview · final architecture follows discovery

You receive: Discovery, architecture map, secure AI workflow, CRM/ERP integration, production deployment, and handover.

Not: Open-ended AI strategy · A standalone chatbot · A full replacement for your internal engineering team

Start with clarity

Not sure which path fits? Start with the free gap profile.

It takes five minutes and gives you a visible next move: review, harden, build, or fix it internally.

Get the free gap profile

No technical background required. The result is visible before any optional email follow-up.