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AI-Powered · Consulting AI strategy / Roadmap to ROI
AI consulting services & strategy — from roadmap to ROI.
AI consulting services for the enterprise — readiness assessment, use-case discovery, and an AI roadmap that names the build-or-buy decision and the numbers behind it. Strategy you can act on, grounded in what your data and teams can actually support — from a Responsible AI lab that also ships.
Enterprise AI strategy advisory and AI vendor selection, with responsible-AI governance built in from day one — so leadership funds a prioritized, costed roadmap with clear evidence, not a leap of faith.
01 / What we advise on
The strategy that turns
ambition into a decision.
We advise on the parts that make AI adoption for enterprises a fundable plan — readiness, discovery, build-or-buy, governance, and ROI — prioritized and grounded in what your organization can actually support.
Readiness
AI readiness assessment
An honest read on where you stand — data, systems, skills, and governance — so the strategy is built on what your organization can actually support today, not a wish list.
Roadmap
Enterprise AI roadmap
A prioritized, sequenced plan tied to business outcomes — what to do first, what to defer, and how each initiative builds toward a durable AI capability.
Discovery
Use-case discovery
We surface and score the use cases that matter — ranked by impact and feasibility — so your first initiative is the one that moves the business, not the easiest to demo.
Vendors
AI vendor selection
Build-or-buy decided on evidence, and AI vendor selection consulting when buying is right — options scored against your requirements, with no bias toward selling you more implementation.
Governance
Responsible-AI governance
Oversight, accountability, evaluation, and human-in-the-loop controls — defined up front so AI stays measurable, auditable, and human-led as it scales.
ROI
Build-plan & ROI modeling
A costed build plan with projected ROI and the trade-offs made explicit — so leadership funds the work with clear evidence, not a leap of faith.
02 / What's included
A plan you can fund,
not a slide deck.
AI strategy is easy to pitch and hard to execute. Every engagement includes the parts that turn ambition into a decision leadership can act on.
- AI readiness assessment across data, systems, skills, and governance
- Use-case discovery and a prioritized backlog scored by impact and feasibility
- Enterprise AI roadmap sequenced to business outcomes
- Build-or-buy analysis and structured vendor selection where buying fits
- Responsible-AI governance — oversight, accountability, and evaluation
- Costed build plan with projected ROI and explicit trade-offs
- Risk, data, and compliance considerations named up front
- A clean handoff to implementation, owned by your team or ours
03 / Responsible AI engagement path
From strategy
to ROI.
A structured, six-step path. The consulting engagement is steps one through three; from there the same Responsible AI lifecycle carries the work into enterprise AI implementation and measurement, so the plan compounds in value instead of gathering dust.
Requirements & use cases
We assess readiness, surface and score use cases, and translate the goal into clear requirements and success metrics.
Build-or-buy & ROI plan
A prioritized roadmap, the build-or-buy and vendor decision, and a costed plan with projected ROI before any build begins.
Ship via Aegis AI
Choose to implement with us and we build, evaluate, and ship on a production cadence — with the defect-reduction edge that moves at speed safely.
Monitor & catch drift
Post-launch we track real usage, measure ROI and quality in real time, and catch drift before your users do.
A/B test & roadmap
We A/B test in-market to find what works, propose the next improvements, and lay out the forward roadmap.
A continuous loop — insights from steps five and six feed straight back into strategy, so the AI capability compounds ● Human-led · Governed by design
04 / Proof · BJ's Restaurants
Headline case · 12-month live data
Strategy that ships, safely — on a live production system.
A roadmap is only worth what gets built from it. The same teams that advise deliver on the production cadence behind Aegis AI — where BJ's Restaurants, a 200+ location enterprise, sustained twice-weekly production releases with zero critical defects for the past year. See the full Aegis AI proof.
2×/wkRelease cadence sustained
0Critical defects · 12 months
200+Locations supported
A Responsible AI lab,
not a slide factory.
We are an AI lab born out of Stanford, building Responsible AI for the enterprise since 2011 — and that is the core difference in our AI transformation consulting. Governance, oversight, and human-led AI are part of the strategy from day one, not a compliance afterthought. We advise you toward AI that backs your people, holds up to scrutiny, and stays measurable as it scales.
And we also build. Our advice isn't theory — the same teams that set the roadmap deliver AI development and generative AI systems on the production cadence behind Aegis AI, our enterprise production suite. That keeps recommendations honest and grounded in what actually ships. Take the plan to any partner — or have us execute it.
Strategy you can act on — prioritized, costed, and grounded in what your data and teams can actually support.
05 / Frequently asked
AI strategy,
answered.
The questions leaders ask before committing budget and teams to an enterprise AI program.
AI consulting includes a readiness assessment, use-case discovery, an enterprise AI roadmap, build-or-buy and vendor decisions, responsible-AI governance, and an ROI-backed build plan. We deliver strategy you can act on — prioritized, costed, and grounded in what your data and teams can actually support.
Start with a readiness assessment and use-case discovery. We map where AI creates real value against what your data, systems, and teams can support today, then prioritize a short list of use cases by impact and feasibility so your first initiative is the one that moves the business.
We make the build-or-buy call on evidence — cost, control, data sensitivity, time to value, and long-term fit. When buying is right, we run a structured vendor selection against your requirements and score the options. Because we also build, our advice is not biased toward selling you more implementation.
As a Responsible AI lab, governance is part of the strategy, not a bolt-on. We define oversight, accountability, evaluation, and human-in-the-loop controls so AI stays measurable and auditable. The aim is human-led AI that backs your people and holds up to scrutiny.
Yes. Silicon Prime is a lab that ships — the same teams that advise can build. We hand off cleanly to implementation and measurement, with delivery carried on the production cadence behind Aegis AI. You can take the roadmap to any partner, or have us deliver it.
06 / Scope your strategy
Ready to make AI a
real decision?
Tell us where you want AI to take the business. We'll assess readiness, name the trade-offs, and give you a prioritized, ROI-backed roadmap you can fund.
Guided by human-led AI · Stanford-rooted · Founded 2011