Custom builds
We build the systems that run your operations.
AI agents, multi-agent frameworks, and business intelligence, custom-built for your operations. Not a demo. Not a proof of concept. Production systems that work unattended at 3am.
From a single agent to a full operating layer.
Custom AI Agents
Autonomous agents that handle real work. Customer service, operations, scheduling, approvals. Built on Claude, OpenAI, or open-source models. Designed to know when to act and when to ask.
- Customer service agents trained on your products and policies
- Operations agents that monitor, alert, and resolve
- Sales agents that qualify, follow up, and hand off
Agentic Frameworks
Multi-agent systems where specialists collaborate. Tool routing, memory, context management, escalation chains. The infrastructure that makes agents reliable at scale.
- Agent orchestration with tool routing and permissions
- Persistent memory and context across conversations
- Human-in-the-loop approval workflows
Business Intelligence
Systems that surface what matters, not dashboards nobody checks. Anomaly detection, competitor tracking, trend analysis, delivered as briefings rather than reports.
- Automated daily and weekly business briefings
- Competitor price and inventory monitoring
- Revenue anomaly detection with actionable alerts
System Integration
Connect your existing tools into a unified intelligence layer. Shopify, WooCommerce, Stripe, Google Workspace, CRMs, wired together so your AI actually has context.
- Multi-platform ecommerce data unification
- Payment processor and accounting sync
- Communication channel aggregation (email, chat, social)
Every operation runs through a human checkpoint. We design the layer that replaces them.
The shift isn't about adding an AI assistant on top of your existing operations. It's rebuilding the operation so the checkpoint stops being a person, where that's safe. Here's what that actually involves, in the order we do it.
Workflow mapping
Before we build, we document what your operations actually do. Not the process diagrams. The real thing, including the informal judgements, the exception handling, the relationship-mediated shortcuts. This is the unglamorous foundation. Skip it, and the agent inherits the chaos instead of replacing it.
Authority and accountability
We define exactly what agents can decide alone, what triggers human review, and who owns the outcome when something goes wrong. These are deliberate decisions, made early, with you. Not assumptions baked into prompts and discovered later in production.
Data infrastructure
Agents are only as useful as the data they can reach. Most operations have data scattered across systems, in formats designed for a person at a screen, with permissions that assume a human endpoint. We unify what needs unifying. We leave alone what doesn’t.
Operational shape
The team running an agentic operation looks different from the team running a human-checkpoint one. Fewer middle layers. Smaller groups. Higher leverage per person. We help you design the shape you’re building toward, not retrofit agents into the structure you inherited.
Why now, not later
Every month of operating with this architecture produces learnings that compound. The operations that start now aren't just ahead on a timeline. They accumulate institutional knowledge that can't be bought later.
Three other options. All of them right, sometimes.
In-house hire
Right when
You have £150k a year, six months to recruit, and the headcount budget.
Wrong when
You need it shipped this quarter and don’t want to manage another engineer.
Big consultancy
Right when
You’re enterprise with procurement, compliance, and an 18-month roadmap.
Wrong when
You need code shipped, not a 90-slide deck and a 6-month discovery phase.
Off-the-shelf framework
Right when
Your problem is generic, your data is clean, and you have a developer to wire it up.
Wrong when
You want it to work, not become the maintainer of a half-built system.
And us
Right when you need a working system in weeks, a fixed quote up front, code you own at the end, and a builder who's shipped production AI to real customers.
Know what you need?
Book a consultationConversation to production. Your system, not a prototype.
Consultation
1 hourWe talk through your operations. What's manual that shouldn't be. What's breaking at scale. What you've tried. No pitch deck. Just a conversation about where AI actually helps.
Discovery and scoping
1–2 weeksWe map your operations against the four areas: workflow checkpoints, decision authority, data infrastructure, and operational shape. You get a written assessment, a phased build plan, and a fixed quote. Whether you commission the build with us, build it yourself, or hire someone else, the assessment is yours.
Build and iterate
4–12 weeksWe build in phases, each independently shippable. You see working systems early, not a reveal at the end. Weekly check-ins, transparent progress, no scope creep.
Deploy and handoff
Ongoing optionYour system goes live with monitoring, documentation, and training. We can hand off completely or stay on retainer for maintenance, iteration, and new capabilities.
Three shapes. One fixed quote after discovery.
Single agent
From £4,000
One purpose. One channel. Customer service, operations, or business intelligence. Production-ready, owned by you.
- Multilingual support agent
- Daily briefing system
- Returns automation
Connected system
From £12,000
Two to four agents that coordinate. Memory, escalation chains, integrations across your existing tools.
- Support agent + ops agent + briefings
- Cart recovery + retention loop
- Multi-channel comms aggregation
Full operating layer
From £30,000
Multi-agent framework. Briefings, monitoring, integrations, business intelligence. The full stack.
- Everything OmniOps does, built for your shop
- Replaces four to six SaaS tools
- End-to-end operations layer
Fixed quote after discovery. Phased payment available. No retainer required. We take two to three new builds at a time, so discovery slots are typically four weeks out.
Know your tier?
Book a discoveryWe don't just consult. We build this every day.
OmniOps is a production AI operations platform. Multi-agent orchestration, tool routing, persistent memory, real-time briefings, proactive monitoring. Built on Claude and OpenAI. Deployed on bare metal. Your project benefits from every hour we've put into making agents reliable at scale.
What it looks like in production
A UK ecommerce merchant running on WooCommerce. Multi-channel customer service across web chat, email, and WhatsApp. Daily briefings for the owner. Order lookups, returns, escalation routing. Live since April.
Live customer, anonymised by request.
How we actually build it. The boring, considered choices.
Production AI is mostly engineering, not prompts. Here are the choices we've made that survived contact with real customers.
Claude for agents, OpenAI for widgets
Claude Agent SDK for business-side orchestration. OpenAI for customer-facing widgets where latency matters more than reasoning depth. Provider abstraction so swapping a model is a config change, not a rebuild.
Postgres and pgvector. Not a separate vector DB.
Specialised vector databases work, but they add operational surface area. For most builds, the boring choice is the right one. One database to back up, monitor, and migrate.
Tool routing manifest, not auto-tool-pick.
Models don't get to choose between eighty tools at runtime. We define the manifest at build time. Per-zone, per-domain, per-intent. Reliable. Auditable. Cheaper.
Multi-tenant from day one.
AES-256 encrypted credentials per organisation. Row-level security at the database, not just the app layer. Your data never trains anyone's model.
Self-hosted on bare metal.
Hetzner, not Vercel. We own the substrate. Background jobs, queues, embeddings, scraping — all run where we can debug them at 3am. The boring choice is the right one.
Common questions, answered straight.
How much does a custom build cost?
Three shapes: single agent from £4,000, connected system from £12,000, full operating layer from £30,000. Fixed quote after discovery. Phased payment available. No retainer required.
Do we own the code at the end?
Yes. From the first commit. The repo is yours. The agent is yours. We hand over runbooks, documentation, and deployment instructions. You can take it in-house, replace us, or keep us on retainer. Your call.
What happens to our data?
UK-hosted. AES-256 encrypted credentials. Row-level security at the database. We never train on your data. NDA on request. If you need single-tenant deployment, that's an option too.
What AI models do you work with?
Primarily Claude (Anthropic) and OpenAI. We also work with open-source models where they make sense for cost, latency, or data privacy. We recommend the right model for your use case, not the trendiest one.
Why not just hire an in-house AI engineer?
If you have £150k a year, six months to recruit, and the bandwidth to manage another engineer, do that. For most businesses, we're three to six months of a senior salary, deployed in weeks. If you want to hire one of us full-time after the build, that's a conversation we'll have honestly.
Do you only work with ecommerce businesses?
OmniOps the product is ecommerce-focused. Our custom build services are open to any industry. Logistics, finance, healthcare operations, SaaS. If your problem involves data, decisions, and repetitive work, we can probably help.
Can you work with our existing tech stack?
Yes. We build systems that integrate with what you already have. Your CRM, your ERP, your comms tools. We don't ask you to rip and replace. The AI layer sits on top.
What does the consultation involve?
A one-hour conversation about your business, your operations, and where things are painful or manual. We'll tell you honestly whether AI is the right answer, and if so, what the path looks like. No obligation.
Do you offer ongoing support?
Optional retainer for maintenance, monitoring, and iteration. Some clients want full handoff with documentation. Others want us to keep improving the system month over month. Both work.
Sometimes AI is the wrong answer. We'll tell you when.
We turn down more work than we take. Here's the kind of project we'll send you away from — and what to do instead.
Your data lives in spreadsheets and tribal knowledge.
Fix the data layer first. We can help scope that, but the build comes after.
You want it to replace your team.
We build augmentation, not autonomy. The owner approves customer-facing actions.
You need it shipped in two weeks.
Our shortest build is four weeks. Production AI takes time. There are no shortcuts.
You haven't shipped to your first customer yet.
Talk to us when you have problems worth automating. Pre-revenue is the wrong time.
Most AI consultancies demo well and deploy badly. We ship production systems because we run one ourselves.
We'll tell you when AI is the wrong answer. Not everything needs an agent. Some things need a cron job. Some things need a human. We'll be honest about which is which, because we've made every mistake in the book building our own.
— James, Omniops
Get started
Tell us what you're trying to build. We'll tell you if AI is the answer.
Free consultation. No obligation. No pitch deck. Just a conversation about your operations and whether we can help.