Outcome
Free specialist capacity
Expensive people doing the work only they can do.
- Case studies
- 18
- Sectors
- 24
- Products
- 60
What this has moved
Measured on engagements built from this work, with the method shown in each case study.
- ~120group companies covered every monthOil and gas producer · United States · NYSE-listed, about 120 group companies
- 20+automations in productionListed multi-utility · Italy · five provinces, energy, water, waste and public services
- €30–40Mof internal investments trackedRetail and commercial bank · Italy · part of a European banking group, €30-40M internal investment portfolio
Our work
Energy & Utilities~120group companies covered every monthEnergyLink Invoice Reconciliation Automation for a US Oil ProducerOil and gas producer · United States · NYSE-listed, about 120 group companiesRead the case
Energy & Utilities20+automations in productionIntelligent Automation Program for an Italian Multi-UtilityListed multi-utility · Italy · five provinces, energy, water, waste and public servicesRead the case
Banking & Financial Services€30–40Mof internal investments trackedExecutive Investment Portal on ServiceNow for an Italian BankRetail and commercial bank · Italy · part of a European banking group, €30-40M internal investment portfolioRead the case
What the work runs on
The products these engagements were built on, most used first.
Ways to start here
Fixed-scope engagements we have run against exactly this kind of problem.
Start here
AI Readiness Assessment
Three weeks to separate the processes where AI changes the economics from the ones where it is an expensive way to run a rule.
Fixed scopeDuration: 3 weeks
Pilot
Agent Pilot: one process to production
Six weeks, one process, an agent that actually goes live behind guardrails, with the evaluation harness to prove it works.
PilotDuration: 6 weeks
Lab
Emerging Tech Sprint
Two weeks testing one emerging technology against one of your real processes, ending in a recommendation you can act on or drop.
WorkshopDuration: 2 weeks
Services that deliver it
The capabilities behind the engagements on this page.
- Data & AIModels, agents and extraction pipelines that go live with a measured baseline, an evaluation set and a path to a person for the hard cases.
- Digital TransformationModernisation sequenced around the systems of record you keep, with Power Platform, Dynamics and custom integration.
- Cloud ServicesCloud infrastructure provisioned as code, secured to a named standard and costed so the bill stays predictable.
- AI & Agentic AI SolutionsIntelligent automation and decision making powered by cutting-edge AI technologies.
- Machine Learning SolutionsCustom ML models for business intelligence and predictive analytics.
- AI Strategy & AdvisoryWhere AI genuinely changes the economics of a process, and where it is an expensive way to run a regex.
- Business Performance OptimizationEfficiency and productivity improvements through data-driven insights and process optimization.
- Cloud Migration & ModernizationAzure, AWS and Google Cloud migration and modernization services.
- Technology StrategyA sequence you can fund and defend, with the trade-offs written down rather than implied.
- Emerging Technology LabsTime-boxed evaluation of technology that does not have a track record yet, with a kill criterion agreed before we start.
- Cloud Infrastructure SetupScalable and secure cloud environments for your business applications.
- Cloud Cost OptimizationReduce cloud spend with intelligent optimization strategies and honest attribution.
How we see it
Accountants, analysts, engineers and compliance officers spend a surprising share of their week on work that does not need their training: downloading, renaming, copying, chasing. It rarely appears in a job description, and it is often the first thing that slips when the team is busy.
We find that work with the people who do it, measure how much of the week it takes, and automate the parts that follow rules. The specialist keeps the decisions and the exceptions, which is the part they were hired for.
Talk to us
Tell us where this has to happen, and we will tell you what it would take.
Not a proposal: a read on whether the process you have in mind is worth automating at all, what it costs, and where it usually goes wrong.
18 case studies