Honest process map
A clear picture of how work actually runs, what outcomes matter, and which agents, models, and usage paths create risk or waste.
AI Project Remediation
Mayordomo's flagship AI engagement for UK teams with a stalled or failed build: match failure patterns, run a fixed seven-step recover-and-realign method, and leave a maintainable baseline your engineers own without needing us forever.
Hands-on in the code and delivery system. Free recovery discussion first, then fixed-scope work. We leave when your team owns the platform, not when a retainer becomes comfortable.
- Discover & audit: identify process and outcomes; inventory agents, models, usage, and risk
- Stabilise & bound: freeze high-risk paths, then design bounded agentic pipelines
- Optimise & control: token and performance wins after structure; metrics, guardrails, and evals
- Audit & handover: prove clearance, leave runbooks, ownership stays with your staff
Founder-led senior delivery. Fixed scope. Ownership left with your team.
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 understands, 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 what is live, re-fit it to real needs, and leave a maintainable baseline your team can own.
Who This Is For
- CTOs and Heads of Engineering with a stalled, fragile, or failed AI-driven build that must hold in production.
- Teams that inherited quick AI-built platforms they cannot safely own, operate, or hand over.
- Founders who need an honest salvage-vs-rewrite assessment before more spend on the same path.
- UK product companies on .NET and Azure who want recovery that ends in handback, not a permanent outsourced platform team.
What We Deliver
Work in your repository and pipeline, not a slide deck. Outcomes the seven-step process leaves behind.
Stabilised high-risk paths
Unsafe tools, spend, and production-critical flows frozen or constrained so change is safe before new pipelines go in.
Bounded agentic pipelines
Workflows with roles, handoffs, and failure paths that replace ad-hoc prompts, plus token and performance tuning once structure exists.
Metrics, guardrails, handback
Quality, cost, and policy signals; evals for regression; runbooks and exit criteria so your engineers own the baseline after we leave.
How We Work
A fixed seven-step process for agentic and multi-model setups that fail under real use. We map the work, audit the stack, stabilise risk before building, then optimise and control so the exit is ownership, not another black box.
Engineering that holds up in production.
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1
Identify current process & outcomes
How work actually runs today, and what success means for the business.
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2
Audit agents, models, usage & risk
Inventory tools, models, and spend; surface security and ownership hotspots.
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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 agentic pipelines
Replace ad-hoc prompts with workflows that have roles, handoffs, and failure paths.
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5
Optimise token & performance
Cut waste and raise throughput once structure exists, not before.
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6
Metrics, guardrails & evals
Quality, cost, and policy signals; regression checks that hold under real traffic.
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7
Audit and handover
Prove clearance, leave runbooks and exit criteria, ownership with your staff.
Discover and audit first
We start with what is live: process, agents, models, usage, and risk, not a greenfield fantasy. Until the real work and the real stack are mapped, pipeline work is guesswork. Steps 1 and 2 give an honest salvage-vs-rewrite-vs-retire read before anything new is built.
Stabilise, then bound
High-risk paths freeze before new agentic work lands. Then we design bounded pipelines that replace ad-hoc tool use, so the system matches how the business actually works, not the chat history that built it.
Optimise, control, hand over
Token and performance work comes after structure. Metrics, guardrails, and evals make failure modes visible. Handover is the exit: runbooks, uplift, and a baseline your staff can run under real traffic. Full commercial recovery scope is this engagement: free discussion, fixed-scope stabilisation, handback.
Patterns We Remediate
AI-assisted delivery often accelerates output until the system hits production reality. If one of these looks familiar, there is usually a path through.
Browse the full pattern hub, or open a card below.
Small sites
Marketing sites and product MVPs spun up with AI look finished in a weekend, until SEO, accessibility, and changeability fail under real traffic.
SMEs
Growing businesses ship features faster than they can hire. Ownership concentrates, and the product becomes hard to hand over or scale safely.
Clean code
Quick AI-built code optimises for “it runs” over readability, tests, and design. Sprawl grows until every change is risky.
Cost concerns
AI spend shows up twice: token and tool bills during build, then cloud and rework cost in production.
Security
Models produce auth and crypto code that looks professional and is subtly wrong until production or audit.
Architectural drift
Each AI session optimises the local problem. Over weeks, the system becomes a collage of styles and boundaries.
Fintech
AI-generated trading, payments, and ledger code often works in demos and collapses under real load, concurrency, and audit.
Enterprise
Enterprise AI experiments skip tenancy, identity, audit, and data boundaries until a pilot must become a real service.
What You Leave With
- A clear technical assessment of what is salvageable, what to rewrite carefully, and what to drop.
- A production baseline with tests, monitoring, and deploy discipline that matches the risk of the system.
- A sequenced roadmap your team can execute without another cycle of silent architectural drift.
- Named ownership for services, data, and run paths so onboarding does not depend on one person’s memory.
- A handback package: decision log, risks, and operating notes so your engineers continue without a permanent outside team.
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.