We help Data & AI services firms move beyond "capabilities marketing" into a portfolio of clear, outcome-led offers that increase win rates, deal sizes, and margin control.
Most Data & AI consultancies can deliver brilliant work — but struggle to scale because:
A proposition isn't a brochure.
It's a repeatable commercial asset that makes selling easier and delivery safer.
We translate technical capability into a client outcome that matters:
We define boundaries early:
This protects margin and reduces scope creep.
Each proposition includes a path to:
So you can land well — and expand predictably.
Edit these to your real offers
What it is: A structured path to modernising data foundations and accelerating adoption
Best for: firms migrating from legacy estates or consolidating into a lakehouse
Outputs: target architecture, migration plan, governance model, delivery roadmap
What it is: Aligning data teams, governance, and reporting standards to scale analytics
Best for: organisations with inconsistent reporting and unclear accountability
Outputs: operating model, KPI framework, governance & ownership, roadmap
What it is: Turning AI ambition into safe, measurable adoption
Best for: clients stuck in pilots with no path to scale
Outputs: use case prioritisation, data readiness, risk framework, implementation plan
What it is: Rapid delivery of a scalable engineering foundation and delivery cadence
Best for: clients with backlog bottlenecks and slow delivery throughput
Outputs: delivery pods, standards, CI/CD patterns, quality gates, runbook
What it is: Ongoing operational ownership with clear SLAs and improvement loops
Best for: clients needing reliability, cost control, and continuous optimisation
Outputs: runbooks, SLA/KPI model, incident + change framework, cost optimisation
Every proposition is packaged with:
Results language
Propositions built this way:
We can design and implement 3–5 repeatable offers that are easy to sell, deliver profitably, and create predictable expansion revenue.
Explore a proposition build