Software development & IT
Coding assistants and agents · code review and testing · legacy system migration · documentation and runbooks · IT helpdesk and service requests · incident response and on-call
AI advisory for measured growth
AI is moving fast. The harder question is what it means for your business.
Where can AI create real value? How should you put it to work? And can you rely on it?
Not ready for that? Ask one question
What we do
Every business runs on workflows, whether or not it calls them that — a series of tasks, in some order, with people deciding along the way. Ten people or ten thousand, the shape is the same. It is where AI either helps or it doesn’t.
We take one workflow per engagement, and answer whether AI belongs there, how it should run, what it costs to run, and whether it worked.
We sell four things. Each answers a different question, and there is no order — start with the one you are actually asking.
Explore
Can we think this through first?
A few days. One conversation with the people who do the work, and a straight answer at the end.
See the detailDiagnose
Is it worth rebuilding?
Two weeks on one piece of work. You get a verdict in writing: go, fix first, or no-go.
See the detailDesign
How should it run?
How it should actually run — what AI does, what your people decide, and what happens to the cases that shouldn’t go through on their own.
See the detailGuide
Who keeps it on track?
Help picking who builds it, someone alongside you through the build, and a check on whether the value showed up.
See the detailWhere are you today?
Most people arrive in one of these four situations.
It’s slow and manual, it eats hours every week, and more business just means more of it.
A pilot that never landed, a tool nobody uses properly, or something live that costs more than it saves.
Before anyone commits budget, you need a clear view of what’s realistic today and what isn’t.
A vendor, an integrator or your own team is building — and you want your own person watching.
All four are good places to start.
Eleven areas where workflows may be enhanced using AI.
Coding assistants and agents · code review and testing · legacy system migration · documentation and runbooks · IT helpdesk and service requests · incident response and on-call
Preparing advice and client recommendations · clinical and case notes taken from conversation · research, analysis and briefing · file and matter preparation · review and second-opinion support · capturing what your most experienced people know
Ticket triage and routing · drafted and automated responses · voice agents and call deflection · real-time agent assist · self-service and knowledge answers · call and chat summaries · quality review and voice-of-customer
Reading invoices, forms and statements · contract review and clause comparison · claims and policy documents · trade and shipping paperwork · records, evidence and audit files · product and catalogue data
Insurance claims processing · loan and mortgage origination · patient scheduling and records · supply chain and order management · field service scheduling and dispatch · billing and metering · trade and logistics operations
Lead research and qualification · proposals, quotes and RFP responses · personalised outreach · call notes, recordings and coaching · CRM updates and follow-up · pipeline and forecasting
Fraud and scam detection · financial crime and alert triage · credit and lending decisions · claims assessment and triage · KYC and periodic reviews · policy and control checks
Campaign and content production · ad creative and variants · ad targeting and media buying · SEO and website copy · translation and localisation · brand and product assets
Product recommendations · search and product discovery · shopping and buying assistants · personalised offers and lifecycle messaging · pricing and promotions · churn and retention
Invoice and payables processing · reconciliation and cash application · collections and disputes · expenses and approvals · purchase orders and supplier admin · management reporting and commentary
Assistants for everyday work · internal search and policy questions · meeting notes and follow-through · recruitment screening and scheduling · onboarding and employee queries · routine reporting and admin
Not seeing yours? Bring it anyway.
The business case
We do not measure AI adoption. We measure what the business can now do that it could not do before.
Handle more work, more customers or more complexity without adding effort at the same rate. The easiest of the four to evidence, because you can count it before and after.
A support team absorbing a busy season without adding headcount.
Less rework, fewer errors, lower cost to serve. Countable inside the workflow, provided someone measured it before anything changed.
Invoice processing where the cost per document falls and fewer items need a person.
Cash moves faster, and less money sits trapped in slow work. Finance already tracks these numbers, which makes the claim easy to check.
Collections and disputes cleared sooner, so cash arrives earlier.
Better conversion, retention or time to market. The one everyone claims, and the hardest to separate from price, market, season and a good quarter.
Personalised offers tested against a holdout group, so the uplift is real rather than assumed.
They are listed in order of how easily they can be proven. Every engagement names which one it is for, and how it will be measured.
Why AI for Growth
WHAT YOU BRING
A named executive who can sign the verdict and own the business decision.
A day-to-day counterpart who knows the process and can make operational decisions.
Committed time from the people who actually do and review the work.
Data, environment access and security review ready before the work starts.
Tell us where work is slow, manual, expensive, exception-heavy or stuck. We will start there.