An AI strategy you can implement, not a deck you present.
Enterprise AI strategy and transformation execution for Chief Transformation Officers: portfolio sequencing, business cases the CFO accepts, and a delivery model that puts the first agent in production in about 90 days.
Long-form thinking for Chief Transformation Officers
AI transformation consulting: the enterprise buyer's guide
How to structure the partner mix across strategy houses, SIs and platform vendors so accountability for a production outcome sits with someone who implements — plus the scope language that makes it enforceable.
Past the first three wins: reuse mechanics for a transformation portfolio
How funding cadence, shared platform assets and a reuse-or-explain rule stop a portfolio stalling in coordination cost and duplicated builds — the mechanics that make wave two cheaper than wave one.
Why the market doesn't believe BPO AI yet — the TTEC vs. TaskUs signal
Announcements stopped moving valuations; shipped outcomes still do. A cautionary read for programs measured on narrative velocity rather than production evidence.
AI readiness assessment framework
The diagnostic behind a defensible transformation roadmap: data, platform, process and change readiness scored per workflow, so sequencing is driven by feasibility instead of executive enthusiasm.
What we've shipped for peers
One AI workplace front door at a global manufacturer
One AI front door for a global workforce — the adoption curve, change plan and governance that kept it from becoming another intranet.
$47M incremental online order revenue at a grocery retailer — conversational commerce
$47M incremental online revenue from conversational commerce — a transformation program measured in growth, not efficiency.
Omnichannel conversational AI at a large healthcare provider — one bot across voice, web, SMS and app
One assistant across voice, web, SMS and app: how channel consolidation removed four roadmaps and one vendor renewal.
Workflow automation and integration across 27 back-office processes at a retail group
The reusable automation platform behind 27 processes — the asset that makes wave two of a transformation cheaper than wave one.
Start-here reading
The Agentic Enterprise in 2027: what changes when software does the work
Our view of what the enterprise looks like in 2027 once agents move from assisting people to completing work, and the decisions leaders have to make in the next four quarters to be ready for it.
AI and the employee contract: the workplace enterprises will run in 2027
Employee experience is where most enterprises will feel AI first and govern it last. Our view of how the employee contract changes through 2027 and what leaders should design now.
Agentic AI for Retail & E-Commerce — A Practical Guide for Brands, Marketplaces and Omnichannel Retailers
A practical guide to agentic AI for retail and e-commerce. Covers conversational shopping, service and returns, merchandising and content operations, marketplace and seller ops, and store & associate assist — with brand-safety, margin and privacy governance patterns.
The AI operating model for enterprise scale
Pilots are cheap; portfolios are hard. This guide is how top-quartile enterprises structure the CoE, product squads, platform team and safety function that turns AI from a series of demos into a compounding capability.
What Chief Transformation Officers ask us first
- How do you build an enterprise AI strategy that actually ships?
- Sequence the portfolio by value and feasibility, attach a business case finance will defend to each item, name an accountable owner per workflow, and prove the delivery model with one production use case before scaling scope.
- Why do most AI programs stall after the pilot?
- The pilot skips what production requires — integration into systems of record, evaluation and guardrails, exception UX, and change management. When those are treated as phase two, phase two never gets funded.
- How do we structure the partner mix across SIs and platforms?
- Keep architecture and value tracking in-house, use platform vendors for the platform, and use a specialist implementation partner for the AI, agent and contact center build. One accountable partner per outcome, not per technology.
- What does 90 days to production include?
- Assessment and architecture, one end-to-end workflow built and integrated, evaluation harness and guardrails live, exception handling designed with the operating team, and a governed production cutover with measurement in place.
For CIOs standing up the enterprise AI operating model.
For Chief AI Officers running an agentic portfolio.
For contact center leaders moving to an AI-first operating model.
Customer experience transformation, implemented — not just designed.
Back office automation that survives audit and peak volume.
For CFOs putting AI on a defensible budget.
AI for HR and employee service — from case volume to workforce readiness.
AI for the IT service desk — resolve more incidents without adding headcount.
Get a briefing curated to your role and program.
We run 60-minute sessions with executive teams on the priorities above — leaving you with a shortlist, a business case or a roadmap you can defend.