Honest map of the system
How work actually runs, what matters to the business, and which tools, models, and usage paths create risk or waste.
AI Project Remediation
Your AI-accelerated build looks done until real load, handover, or audit hits. We recover what is live, realign it to how the business actually works, and hand back a baseline your engineers own.
Free recovery discussion first. Fixed-scope work in your code and delivery system. We leave when your team owns the platform, not when a retainer gets comfortable.
- Map & audit: how work runs today, what is at risk, what is salvageable
- Stabilise & reshape: freeze unsafe paths, then put clear workflows around AI-assisted steps
- Control & hand back: cost and quality checks, runbooks, ownership with your staff
Founder-led delivery. Fixed scope. Handback is the exit.
The Problem We Solve
AI-assisted delivery often produces systems that look complete in demos but fail under real ownership: unclear boundaries, missing tests, secrets only one person knows, and no safe path to production. Teams face a false choice: abandon the work, or pour more spend into the same approach. There is a third path: recover, realign, and hand back.
Who This Is For
- CTOs and Heads of Engineering with a stalled or failed AI-driven build that must hold in production.
- Teams that inherited a quick AI-built platform they cannot safely own or hand over.
- Founders who need an honest salvage vs rewrite read before more spend on the same path.
- UK product companies (often .NET and Azure) who want recovery that ends in handback, not a permanent outside team.
What You Get
Work in your repository and pipeline, not a slide deck. Four outcomes every engagement leaves behind.
Safer high-risk paths
Unsafe tools, spend, and production-critical flows frozen or constrained so change is safe before bigger fixes land.
Clear AI-assisted workflows
Bounded pipelines: steps with roles, handoffs, and failure paths, instead of ad-hoc prompts. Cost and speed tuning comes after structure exists.
Controls and handback
Guardrails and evals for quality, cost, and policy; runbooks and exit criteria so your engineers own the baseline after we leave.
How We Work
A fixed seven-step recover-and-realign method. We map the work, audit risk, stabilise before rebuilding, then add controls so the exit is ownership, not another black box.
Engineering that holds up in production.
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1
Map process and outcomes
How work runs today, and what success means for the business.
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2
Audit tools, models, and risk
Inventory AI tools, models, and spend. Surface security and ownership hotspots. Honest salvage vs rewrite vs retire read.
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3
Stabilise high-risk paths
Freeze unsafe use and production-critical flows so change is safe again.
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4
Design bounded pipelines
Replace ad-hoc prompts with workflows that have roles, handoffs, and failure paths.
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5
Cut waste, raise reliability
Reduce token and cloud waste, and improve throughput once structure exists, not before.
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6
Metrics, guardrails, and evals
Quality, cost, and policy signals. Regression checks that hold under real traffic.
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7
Prove clearance and hand back
Runbooks, exit criteria, and ownership with your staff. Free discussion, fixed-scope stabilisation, then exit.
Unfamiliar terms? See the short glossary below.
Patterns We Remediate
If one of these looks familiar, there is usually a path through. Full pattern hub.
Small sites
Weekend-shipped sites that fail SEO, accessibility, or change under real traffic.
SMEs
Features outpace hiring. Ownership concentrates; handover becomes hard.
Clean code
“It runs” over tests and design until every change is risky.
Cost concerns
Token and tool bills in build; cloud and rework cost in production.
Security
Auth and crypto that look fine until production or audit.
Architectural drift
Each AI session fixes the local problem; the system becomes a collage.
Fintech
Payments and ledger paths that pass demos and fail under load or audit.
Enterprise
Pilots that skipped tenancy, identity, and data boundaries.
What You Leave With
- A clear read of what to keep, rewrite carefully, or drop.
- A production baseline with tests, monitoring, and deploy discipline matched to risk.
- A short roadmap your team can run without another cycle of silent drift.
- Named ownership for services, data, and run paths.
- Handback package: decision log, risks, and operating notes so you continue without a permanent outside team.
Terms We Use
Short definitions for words that show up in recovery work. You do not need the jargon to book a discussion.
- Agentic
- Software that uses AI tools or agents to take multi-step actions, not only answer a single prompt.
- Bounded pipeline
- A fixed workflow with clear steps, owners, and failure paths, instead of open-ended chat-driven change.
- Guardrails
- Limits and checks (policy, cost, safety) so AI-assisted paths cannot run wild in production.
- Evals
- Repeatable tests of model or agent behaviour so quality does not silently regress after a change.
- Handback
- The planned exit: your staff own the system with runbooks and criteria; we are not a permanent platform team.
- Recover and realign
- Keep what is salvageable, make it safe under real use, and fit architecture and delivery to the real business case.
- Stabilise
- Stop the bleeding on high-risk paths before building new capability on top.
- Token cost
- What you pay models and tools per request. Waste often means noisy prompts, retries, and unbounded agent loops.
Book Free Recovery Discussion
Send the stalled system outline, stack, symptoms, and timeline. Robert replies with an honest engineering read. Free, no obligation.
Or email info@mayordomo.co.uk with a short outline.