AI Workflow Systems

End-to-end agentic systems that run real business processes.

Orchestration, cost control, and governance built in from day one — not bolted on later after the first production incident.

Who this is for

Built for teams who know which process they want to automate

01
Teams with a specific, high-volume business process they want to automate — not a broad "let's do something with AI" mandate. The process is defined. The problem is real.
02
Organisations burned by AI demos that didn't survive contact with production load, edge cases, or procurement. You want a system, not a prototype.
03
Buyers who have done an Exposure Audit — ours or equivalent — and know which process is worth automating first. The opportunity is prioritised.
04
Companies where governance, auditability, and cost transparency are non-negotiable from day one — not features to add when the auditors arrive.
Deliverables

What we build and hand over

Every system is bespoke. The components below are the consistent architecture of what we ship — the implementation is specific to your process and your stack.

01

Bespoke multi-agent system

Designed around your process, not pulled off a template. Architecture, orchestration pattern, and model selection are decided for your specific domain — after scoping, not before.

02

Stack integrations

Integrations with your existing tools — CRM, ERP, data warehouse, ticketing, messaging, whatever your process touches. We don't build islands. The system plugs into what you already run.

03

Cost controller

Real-time per-workflow spend, budget enforcement, per-task attribution. You see exactly what each run costs before the invoice arrives. Hard limits stop runaway spend automatically.

04

Governance layer

Approval gates, audit trail, role-based access. Every decision the system makes is logged. Human review points are built in wherever the process requires them.

05

Model routing

Multi-provider by default. We don't lock you into a single vendor, and we engineer for model obsolescence — when a better model ships, swapping it in doesn't require rebuilding the system.

06

Observability and handover

Structured logs, traces, dashboards — the same instrumentation we run on our own systems. Full handover documentation so your team can operate the system without us in the room.

Timeline

Scoping to production in ten to eighteen weeks

Build timeline depends on process complexity, integration count, and compliance requirements. Every engagement is against an agreed statement of work with defined milestones.

1–2 weeks

Scoping

Process mapping, integration inventory, success criteria. We define what "done" looks like before we write a line of code. Output: a written SoW you can take to procurement.

2–3 weeks

Design

Architecture, orchestration pattern, model selection, governance requirements. The decisions that are expensive to reverse are made here, on paper, not in production.

4–10 weeks

Build

Iterative delivery against agreed milestones. You see working software at each milestone — not a big reveal at the end. Integrations, cost controls, and governance shipped progressively.

1–2 weeks

Deploy

Staged rollout, monitoring, cost tuning. We don't hand over a zip file and disappear. Deployment is a phase with its own milestones and acceptance criteria.

1 week

Handover

Documentation, training for your team, and a 90-day operational period where we're available for questions and incidents.

Commercial model

Fixed-scope engagements. No open-ended contracts.

Price on request. Typical range £60,000 – £250,000 depending on scope, integration complexity, and compliance requirements. Every engagement is priced against a written statement of work before you commit.

Payment in staged milestones tied to deliverables — not monthly retainers, not time-and-materials. You pay when we deliver, not on a calendar.

A free 30-minute scoping call confirms whether a build engagement is the right fit. The honest answer is sometimes "not yet — start with an Exposure Audit."

AI Workflow Systems
Price on request
Typical range £60k – £250k. Fixed scope, fixed price.
  • Bespoke multi-agent system
  • Full stack integrations
  • Cost controller and governance layer
  • Observability and dashboards
  • Handover documentation
Book a scoping call

A scoping call is free and takes 30 minutes. No obligation.

Anti-positioning

What this is not

Not a proof of concept. POCs that stop at "it demos well" are where most AI spend dies. We only ship into production. If a proof of concept is what you need first, say so on the scoping call and we'll scope that separately.
Not a chatbot. Chatbots are features. Workflows are systems. A workflow system handles exceptions, integrates with your existing data, enforces cost limits, and runs at volume without a human in the loop on every task.
Not a rebadged Zapier. Zapier is good. It's not this. We build systems for high-volume, high-complexity processes where the edge cases are real and the failure modes matter.

Orchestration is the hard part. Not because it's technically complex — because it's where your process assumptions meet reality. Get it wrong and you have an expensive, flaky demo. Get it right and you have infrastructure.

RO
GL

Delivered personally by Richard O'Flynn & George Lovejoy.

Twenty years of shipping bespoke production systems together. No associates, no delivery team.

Ready to build something that actually runs?

A 30-minute scoping call is free. We'll confirm whether a build engagement is the right fit and give you a clear scope and cost estimate before you commit to anything.

FAQ

Common questions

Can you work with our existing AI vendor?

Yes. We're model-agnostic and multi-provider by default. If you're already using Anthropic, OpenAI, Google, or Azure, we build around what you have. We'll recommend switching models or providers if we think it's warranted — but the default is to work with your existing relationships, not replace them.

Do we need to use a specific cloud or model provider?

No. Multi-provider routing is a core part of the architecture on every engagement. We actively engineer against single-vendor lock-in — not because vendors are untrustworthy, but because model pricing changes, models get deprecated, and the right model for a task in 2025 may not be the right model in 2026.

What happens when a better model ships six months later?

The system is designed so that model swaps don't require rebuilding the orchestration layer. The routing logic sits above the model call — you swap the model in one place, run your test suite, and deploy. We treat model obsolescence as a design constraint, not an edge case.

Who owns the code and the prompts?

You do. Full IP transfer on delivery. The codebase, the prompt library, the architecture documentation — all yours. We retain no licence over what we build. The SoW is explicit on this point.

How do you handle data residency and compliance requirements?

Data residency, sovereignty, and sector-specific compliance requirements are scoped during the design phase — not discovered in production. We've worked in environments with significant data handling constraints and know where the pinch points are. If you have specific requirements, name them on the scoping call and we'll address them in the SoW.

We've been burned by AI projects before. What's different?

Most AI projects fail at the orchestration layer, the integration layer, or the governance layer — not because the model couldn't do the task. We've seen these failure modes directly. We build the boring parts first: cost controls, audit trails, error handling, and human review gates. The demo comes after the foundation is solid, not before.

Ready to build a system that runs the process, not just demos it?

Book a scoping call

How can we help you today?

Ready to build a system that actually works?

Book a free 30-minute discovery call. We'll discuss your workflows, challenges, and whether a bespoke AI system makes sense for your business.

Book a Discovery Call