Agentic workflow automation
Agents that take a high-volume process from intake to done, inside your systems, with human approval where it counts.
Agentic AI consultancy · London
AI agents that
do the work.
You keep the savings.
We build AI agents that take over your highest-volume workflows — claims, invoices, field reports — so each task costs less and finishes faster. We measure your baseline first, so the return shows up in numbers, with your people approving the decisions that matter.
With a senior engineer, not a salesperson. You'll leave knowing whether an agent fits — and how we'd measure it.
- PhD-led team
- Led by a former CTO
- Healthcare-grade GenAI leadership
Services
Three ways we put agents to work.
Every build ships with an evaluation suite, an audit trail and a runbook — so you can prove it works, see what it did, and run it without us.
Knowledge agents & RAG
Assistants for customers and staff that answer from your documents and data, cite their sources, and hand off to a person when unsure.
Evaluation, governance & data science
The test suites, guardrails, monitoring and data foundations that make every model and agent measurable and auditable.
About Us
We've built AI at scale — and sat in the buyer's chair.
A London consultancy of PhD researchers and engineers. We've shipped AI into production and made the build-versus-buy and budget calls you're facing now — and we bring healthcare-grade rigour to every industry we work in.
- Team of PhDs from top universities — we measure agents the way researchers run experiments.
- Led by the ex-CTO of a $100M+ company, who has sat on the buyer's side of the table.
- AI team led by the GenAI lead at one of the world's largest healthcare companies, where AI has to survive clinical-grade scrutiny.
- Model-agnostic: we choose what fits your data, risk and budget — and you own the code, prompts and evaluation suites we build.
How it works
From first call to production
-
01
Diagnose
In 2–3 weeks we baseline one workflow's cycle time, cost and error rate — and tell you whether it needs an agent at all.
-
02
Prove
We build a production slice on your real systems, tested against a golden set of your cases, with go/no-go criteria agreed on day one.
-
03
Launch
Agents go live in assist-and-approve mode, with their own permissions, full logging and a run-cost dashboard.
-
04
Run & hand over
Monthly eval and cost reports, autonomy raised only on evidence, and runbooks so your team can own it.
Results our team has delivered with AI
20mil
Hours of human work saved with AI
1.3b+
Revenue generated by AI solutions
$15mil+
Operating costs saved with AI
FAQs
Questions buyers ask us
The questions we hear most from operations, IT, risk and finance teams — answered with how we actually work.
Book a workflow reviewAny operation with high-volume, document-heavy, rules-bound work: intake, triage, reconciliation, drafting, scheduling and exception handling. The best first projects usually replace outsourced or manual back-office effort, where savings are easiest to prove. In every case, a person approves the decisions that carry risk.
- Oil & Gas Field tickets to reconciled invoices, sensor anomalies to work orders, inspections to compliance packs. Engineers approve every safety-relevant step, and agents never touch control systems.
- Healthcare & Life Sciences Prior-authorisation packs and appeals, clinical documentation drafts and regulatory writing — prepared for clinician or expert sign-off.
- Financial Services Claims and underwriting triage, payment exceptions and KYC/AML case preparation, with a named person signing off every decision.
- Retail & E-commerce Orders, returns and refunds resolved end to end; product data made ready for AI shopping assistants; faster supplier onboarding.
- Manufacturing Downtime triage, root-cause analysis from maintenance and sensor history, and work orders drafted for engineer approval.
- Legal & Professional Services Multi-step research, contract review and drafting, with every citation checked against its source and a lawyer accountable.
- Media & Entertainment Metadata enrichment, captioning, localisation and turning one story into many formats. Editors approve before anything publishes.
- Logistics & Supply Chain Quotes, load tenders, appointment booking and exception chasing across email and phone, escalating to your team when it matters.
We don't build throwaway proofs of concept. Your first project is a production slice: one workflow, one system and one human approval point, built on production infrastructure with security, logging and monitoring from day one.
Before we start, we agree the success thresholds and a go/no-go date. If the numbers aren't there, we tell you — and sometimes the honest answer is that a simpler automation beats an agent.
We test before we trust:
- Evaluated on your cases Each agent is built against a golden test set drawn from your real work, and we report its pass, error and escalation rates before and after launch.
- Grounded answers Responses cite your data, and when confidence is low the agent hands off to a person.
- Autonomy earned, not assumed Agents start in assist-and-approve mode; we extend their authority only when the evaluation evidence supports it.
- Logged and stoppable Every action is recorded for audit, and any agent can be paused without touching your core systems.
- Your environment Agents run in your cloud, or in a UK/EU region you approve, using model endpoints configured so your data isn't used to train them.
- Least privilege Each agent has its own identity and only the access its task needs, and every tool call is traced.
- Threat-modelled We design against the OWASP Top 10 for Agentic Applications.
- Paperwork done properly We sign a data processing agreement, support your DPIA, and design to the rules you work under — UK GDPR, HIPAA or your sector's regulator.
Yes — and that's most of the work. We build agents into the tools your teams already use: CRM, ERP, ticketing, document stores, EHRs, email and phone. We use open standards such as MCP and A2A rather than a proprietary platform, and because we're model-agnostic, we choose the model that fits your data, risk and cost — and you can switch later.
The diagnostic includes a data-readiness check, so integration surprises surface in week one, not month six.
First we measure your current cycle time, cost per transaction and error rate. Before any build, we model the agent's cost per task and its monthly run budget, so finance sees the numbers up front.
Work is fixed-fee by phase — a short diagnostic, then a production slice — each quoted before we start. After launch, a dashboard tracks savings and run costs against your baseline. You own the code, prompts and evaluation suites.
Contact
Bring us one workflow.
Tell us the process that eats the most hours or outsourced spend. In a workflow review, a senior engineer will tell you whether an agent can fix it, what it would take and how we'd measure success. If it can't, we'll say so plainly.
Our Address
128 City Road,
London, United Kingdom,
EC1V 2NX