AI Support Agent
A help-centre-grounded agent that resolves routine tickets, drafts replies for your team and hands off to a human with full context in your CRM.
Start this kit →Brackley Labs is the AI product studio of Brackley Holding. We build AI agents, AI-native websites, software and CRM systems as fixed-price Launch Kits, each with a published price, a success metric, and a working prototype in week two. Hit the metric or walk away.
Most companies hire one agency for the website, another for the app and a consultant for the CRM, then pay to glue it together. We build the whole system, with AI designed in from day one rather than bolted on.
Copilots, autonomous agents, retrieval-grounded assistants and AI-native SaaS, from prototype to evaluated, monitored production systems.
Award-level marketing sites, headless commerce and content platforms that load in under a second and convert.
Explore websites → 03SaaS products, client portals, dashboards and internal tools, architected to scale and handed over with full ownership.
Explore software → 04CRM implementation, migration and custom builds, with AI lead scoring, enrichment and workflow automation wired in.
Explore CRM → 05Senior technical leadership on retainer: AI roadmap, vendor selection, architecture reviews and team hiring.
See engagements →We took the projects clients ask for most and turned them into kits with a published price, timeline and success metric, so you know exactly what you get before you sign.
A help-centre-grounded agent that resolves routine tickets, drafts replies for your team and hands off to a human with full context in your CRM.
Start this kit →Researches every inbound lead, enriches and scores it, then drafts a personalised first reply for rep approval, inside your CRM.
Start this kit →A sub-second marketing site or storefront with an on-site AI concierge that answers questions, recommends and books.
Start this kit →Clean data, pipelines that match your real sales motion, automated routing and AI enrichment, with training so the team actually uses it.
Start this kit →Every kit starts with a paid 5-day discovery and a working prototype on your real data by the end of week two. We agree the success metric up front. If the prototype doesn't hit it, you stop there and pay only for discovery. No sunk cost, no awkward conversations.
Enter your team size, hours spent on repetitive work and their cost. The calculator estimates annual savings and payback for an AI agent, then turns it into a brief.
Open the ROI calculator →We are deliberately small and senior. No account-manager layer, no junior bait-and-switch. The people on your discovery call are the people writing your code.
Every AI feature ships with a test suite of real cases, so quality is measured and regressions are caught before your users see them.
Auth, observability, cost budgets, security review and CI/CD are part of the build, not a phase-two upsell.
We agree the business metric up front (tickets deflected, leads qualified, hours saved) and report against it.
Fixed-scope sprints with a demo every week. You always know what's shipped, what's next and what it costs.
Workshops, data audit and a ranked list of the use cases worth building.
1–2 weeksA clickable, working prototype on your real data, tested against an eval set.
2–3 weeksProduction architecture, integrations, security and a design system.
6–12 weeksMonitoring, model upgrades and a monthly optimisation cycle.
OngoingWe pick the best model and infrastructure for each job, and design so you can swap providers later without a rewrite.
Brackley Labs sits inside Brackley Holding, a group that builds and operates its own brands. That means we build software the way owners do: obsessed with conversion, retention and cost-to-serve, not billable hours.
The tools we ship for clients are the same ones we run across our own portfolio companies, so every pattern has been tested on a real P&L.
Visit Brackley Holding →Send a short brief. You'll get a reply from a senior engineer within one business day, with an honest read on scope, stack and cost.