01
Sequenced rollout plan
Which workflows go first, which teams pilot, what the wedge looks like, and the success bar each one has to clear. The plan a CIO defends to a CFO, not a backlog of disconnected pilots.
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Service
AI Strategy
Decide where AI pays before budget drifts, then hand the transformation a plan a CIO can defend to a CFO.
Spectrum3
Trust layerbuilt-in
Ownersnamed
Measured in production, not just shipped.
Every claim in the report traces back to source evidence, ownership, and the workflow decision it supports.
Valuefund next
Riskcontain now
Fluencytrain where work changed
What you get
What an AI Strategy engagement puts on the table.
AI Strategy is the upstream work that decides which AI bets get funded and in what order. It ships four artifacts a leadership team can act on, with the measurement that proves value later already plumbed in.
02
Vendor shortlist with scorecards
Build versus buy applied to each priority workflow, scored on fit, cost, and switching risk. License consolidation surfaced where it pays for itself early, in scorecards a procurement team can defend.
03
Board-ready ROI model
Cost per outcome, not cost per seat. Sourced arithmetic instead of aspiration, built so the CFO can populate it as the rollout runs rather than rebuild it every quarter.
04
Fluency telemetry baseline
Depth, breadth, workflow integration, and shadow AI, captured on the same trace pipeline that later feeds governance, audit, and evals. The rollout team starts from measured usage, not a hypothesis.
How the engagement runs
From board pressure to a funded plan.
The sequencing runs in named stages, scoped to your environment. Frame the decision, test build versus buy, order the rollout, baseline the measurement, then write the case the board signs.
Frame the decision
priority workflowsvalue hypothesisconstraints
Build versus buy
vendor shortlistscorecardsconsolidation
Sequence the rollout
rollout orderpilot teamssuccess bar
Baseline the measurement
usage depthshadow AItrace pipeline
Board case
cost per outcomesourced ROIfunded workstreams
Handover
platform-portablerun it with us or your team
By segment
Where AI pays first, by segment.
The sequencing method ports across every sector we work in, and finance is where we go deepest. A starting catalogue of the first funded bet, not a closed list.
Private Equity
Portfolio-wide value
The operating partner needs one path to decide which portco workflows to fund, in what order, with board-ready reporting the investment committee can underwrite. Strategy sequences that before capital scatters into portco pilots.
Banks and capital markets
Service cost and throughput
Chatbot deflection and vibe-coding governance are the workflows under pressure. The sequencing decides which one moves service cost or developer throughput first, and whether to build the agent or buy the platform.
Fintech
Vendor spend and customer AI
AI-native teams accumulate overlapping vendors fast. Strategy rationalizes the spend against the priority customer-facing workflow, and sets the evals coverage the margin case depends on.
Asset and wealth
Research and advisor productivity
Research workflows and advisor productivity are where time-to-decision moves. The sequencing names which to fund first and how you will show the hours came back, before the tools multiply.
Real estate
NOI-anchored workflows
Leasing, CapEx procurement, and predictive maintenance each move net operating income in a measurable direction. Strategy frames the first bet against a per-property NOI delta and the data work that makes the delta legible.
Insurance
Claims and underwriting
Claims triage and underwriting copilots are the candidate workflows. The sequencing decides which moves loss ratio or cycle time first, and what evidence the change has to carry.
What the funded work moved
What the funded workflows moved.
Representative outcomes from delivered, anonymized engagements. 95% stated, about 90% measured. $20M modeled off six unified data sources, not an audited fact. The FP&A and CRE figures are separate clients, not one blended case.
What it fixes
What this fixes before the build starts.
AI Strategy exists because most teams reach the build with the decision still unmade. These are the failures it closes off.
01
Budget drifting into pilots
AI money leaks into disconnected proofs of concept nobody can defend or tie to the P&L. Sequencing decides which bets get funded, and in what order, before the drift starts.
02
Build versus buy left to instinct
Teams commit to build a workflow they should have bought, or license a platform they should have built past. Scorecards on fit, cost, and switching risk make the call defensible.
03
ROI framed as cost per seat
A board update that counts subscriptions and logins says nothing about whether AI is compounding. The model reframes it as cost per outcome, sourced, so the CFO reads value rather than activity.
04
No measurement baseline
Rollouts that start without measured usage cannot prove value later without a scramble. The telemetry baseline runs on the same trace pipeline governance and evals use, so the proof is live from day one.
Common questions
Common questions, direct answers.
Strategy sequences the upstream choices: which workflow first, build versus buy, vendor shortlist, board case. Transformation runs the rollout against those choices and attributes the value. Strategy decides what to bet on; Transformation ships it.
Specialist AI builder, across the board
One builder, across the board.
We take your AI from strategy to outcome, with governance, audit, and evals built into every build. Start with a discovery call, or a quick audit.