IntelliAEO
Enter your website and see how it ranks in AEO — how well AI answer engines can find, understand and recommend you.
Free scan · opens aeo.pointonezero.com · press Enter
Forty use cases can sit on a list with no agreement on the first one. Meanwhile, the routine workflow that costs hours every week never gets funded.
Plans start with the technology before anyone watches the work.
Valuable work competes with easy pilots on one long list.
Nobody has scored which capabilities are ready for AI and which need groundwork first.
Once approved, the roadmap is rarely updated with evidence from what shipped.
The loop has eight steps. Each one produces something the next step uses, and the last step feeds the first.
Size the market, map customer needs and track shifts in demand, pricing and regulation that change what is worth building.
Track competitors' offers, pricing, hiring and AI moves so the plan answers the market as it is now.
Generate opportunities with business, product and technology teams, grounded in customer evidence and competitor gaps.
Map each opportunity to the business capabilities and processes it touches, using a standard process framework such as APQC.
Score each capability's maturity in data, technology, process and people, so plans start from where you actually are.
Rank opportunities on value, feasibility, risk, maturity and reuse, and show why lower-ranked ideas wait.
Sequence releases, write product requirements and cost the build, running and rollout against the value each should create.
Instrument what ships, track adoption, cost and outcomes through live telemetry, and feed the results into the next round of prioritization.
We research the market and competitors, map your capabilities and score their maturity.
We generate and rank opportunities, then build the roadmap and business case with the accountable owners.
We measure what ships through live telemetry and update priorities as evidence arrives.
Each project has evidence and an owner.
Integration, change and quality costs sit beside licenses.
Every build has a named user and an adoption plan.
Maturity scores show what each capability can support today.
Releases follow proof, not the calendar.
The team that plans the work builds it.
You know which number will show success.
Live metrics reorder priorities as results come in.
Client engagement, anonymized
A pharmacy benefit manager had an AI strategy with the right themes and no start date. We rebuilt it as a week-by-week plan, built governance into every workstream and designed the first agent for claims analysis. Leadership received an architecture it could evaluate and a 12-week sprint plan to build it.
Strategy run as a continuous loop: market research, competitive intelligence, ideation, capability mapping, maturity scoring, prioritization, roadmap and business case, then refinement with live metrics. The plan changes as evidence arrives instead of waiting for an annual review.
We score each idea on value, feasibility, risk, data readiness and reuse. Ideas with high value but poor data go on a data roadmap first, which keeps early releases achievable.
It prices the whole change: integration, data preparation, testing, workflow redesign, training and ongoing model costs. It also records a baseline before the build so results can be checked.
We do. Point One Zero combines strategy, design and engineering, so the people who recommend a project also build its first release.
It scores how ready each business capability is for AI across data, technology, process and people. The scores show which opportunities can start now and which need groundwork first.
Bring the competing ideas. We will lay out the evidence and trade-offs and recommend the first move.
Discuss an AI strategy engagementOr email us at admin@pointonezero.com.