AI Readiness Assessment & Enterprise AI Strategy Consulting
More than 50% of AI projects fail, according to a 2026 Gartner analysis. The reason is rarely the technology. It’s the organizational readiness, governance, and leadership layer around it. That’s where Intelligence Briefing focuses.
Who We Help
Intelligence Briefing serves leaders who are measured on AI results. That means executive leaders like CEOs, CIOs, CTOs, and CHROs who are accountable for AI ROI, risk, and workforce transformation. And L&D and talent leaders, such as CLOs, VPs of Learning, and Heads of Talent, who are accountable for building enterprise AI capability that delivers measurable behavior change.
Accountability for AI outcomes is the credential I look for. Stage and scope shape what kind of engagement makes sense — more on fit below.
Our Clients Include
Advised by 2x best-selling author Andreas Welsch — LinkedIn Top Voice, Thinkers360 Top 10 AI Thought Leader, Adjunct Professor at West Chester University, and former global AI leader at SAP.
The Four Pillars of AI Advisory
AI initiatives fail for nine distinct reasons we’ve seen across Fortune 500 advisory engagements. These four pillars address them in sequence.
AI success requires more than technology; it begins with an understanding and definition of the business problem. Intelligence Briefing helps you quantify the business value and understand what makes a high-value AI project high-value to begin with. Prepare your organization to integrate AI effectively through stakeholder-driven use-case identification, outcome-based KPIs, technology selection, AI leadership certifications, and measured training. Understand and maximize the impact of AI for your organization.
Organizational Readiness
Most leaders know something in their AI program isn’t working. They can’t name which of the nine readiness dimensions is the cause. This diagnostic names it — across executive alignment, strategy, use case prioritization, data maturity, workforce capability, governance, technology foundation, change management, and measurement.
What you walk away with:
– A prioritized readiness scorecard across all nine dimensions
– Identified gaps that would derail specific planned AI initiatives
– A sequenced remediation plan with ownership and milestones
– Peer benchmarks showing where you stand vs. organizations at your maturity level
Why it matters:
Most AI failures are diagnosed in post-mortems as “organizational readiness gaps we didn’t know we had.” Our assessment helps you identify gaps before they lead to a failed launch or damage your credibility with the board.
Best for:
CIOs, CTOs, and CEOs planning or mid-flight on their first major enterprise AI initiative.
Training & Upskilling
Most AI training is delivered by generalists who added AI to their deck in 2023, taught to employees with no shared language, and forgotten within sixty days. This is the opposite: role-specific curriculum, four tiers (Explorer, Strategist, Innovator, Visionary), measurable competency, applied to your real projects — not hypothetical case studies.
What you walk away with:
– Measurable AI competency across defined roles
– Cohort-based certification with digital badges and credentials
– Playbooks your teams can apply to real projects, not hypothetical case studies
– Optional partnership with your internal L&D function for delivery at scale
Why it matters:
Employee AI literacy without governance produces “AI slop” — low-quality outputs that create rework, erode trust, and mask failures. Structured upskilling prevents that.
Best for:
CLOs, L&D leaders, and CHROs building AI capability as a durable organizational asset, not a one-time training event
Strategy & Roadmap
Stop running AI as a portfolio of disconnected pilots. A 3-year AI investment thesis your CFO and CIO both sign — with use cases ranked by strategic value, feasibility, and risk, ROI modeled per workstream, and a governance structure that names who decides what.
What you walk away with:
– A prioritized AI investment roadmap tied to business outcomes
– Use cases ranked by strategic value, feasibility, and risk
– A governance structure defining decision rights across the portfolio
– An executive dashboard for tracking AI ROI over time
Why it matters:
Most enterprises have too many AI pilots and not enough AI wins. Strategy work concentrates resources on the few use cases that move business KPIs.
Best for:
CIOs, CTOs, and CEOs defending AI spending to the board with measurable returns.
Leadership & Recruiting
The cost of hiring the wrong Chief AI Officer is two years and seven figures. The cost of hiring no one is roughly the same. We help you scope the role, evaluate candidates against your actual AI maturity, and integrate them once they start — or build a fractional alternative when a full-time hire isn’t justified yet.
What you walk away with:
– A clear role charter defining scope, authority, success metrics, and reporting lines
– Candidate evaluation framework aligned to your organization’s AI maturity
– Reference interviews and post-hire integration support
– Alternative staffing models (fractional AI leader, advisory retainer) when a full-time hire isn’t yet justified
Why it matters:
Most AI leadership hires fail within 18 months because the role wasn’t defined before the hire. Getting the scope and success metrics right upfront prevents a costly restart.
Best for:
CEOs and CHROs sizing their first AI leadership role, or organizations recovering from a failed AI leadership hire.
Three Engagements. Fixed Scope. Experienced Delivery.
Most enterprise AI advisory comes in two flavors: Big 4 consultancies that quote $500K and staff your engagement with juniors, or solo “AI consultants” who copied an ebook last year.
Intelligence Briefing — a boutique advisory practice led by Andreas Welsch, former SAP global AI leader — delivers three fixed-scope engagements that leadership teams can actually buy.
No junior consultants. No open-ended billing. No “AI journey” PowerPoints.
AI Readiness Sprint
from $25,000
4–6 weeks · fixed scope
- Where the 50% who fail get stuck — and where we start.
- You’ll get a 9-dimension readiness diagnostic, a prioritized 90-day roadmap, a stop/ scale/ restructure verdict on every active pilot, and an executive briefing your CIO and CHRO can present to the board.
- Best for: $100M–$1B enterprises with 1–5 stalled or struggling AI initiatives who need a senior outside view in under 6 weeks — without paying Big 4 prices to get one.
AI Strategy & Roadmap
from $65,000
8–16 weeks · fixed scope
- For organizations going from pilots to a portfolio.
- A full strategic engagement: enterprise AI thesis, prioritized use-case portfolio, governance architecture, operating-model recommendations, talent and capability plan.
- Best for: Growth-stage enterprises ($100M–$2B) committing to AI as a 3–5 year P&L bet, where the wrong strategic choice costs seven figures and the right outside expertise costs a fraction of that.
Fractional Chief AI Officer
$15,000/mo.
6–12 month retainer
- A senior AI executive on your leadership team—without the FTE.
- Two days/week embedded with your C-suite: board-level AI counsel, governance oversight, vendor selection, talent reviews, communication to investors and regulators, and direct presence in your most strategic AI decisions.
- Best for: Mid-market enterprises that need senior AI leadership now but can’t justify a $400K full-time CAIO hire — or whose CIO needs a peer who’s done it before at scale.
Workshops & Keynotes
Half-day and full-day private workshops, board sessions, and keynotes
also available — typically $15K–$35K depending on format and audience size.
Shorter, focused engagements that build shared understanding and alignment in a single session or short series.
See speaking & workshop options
What’s Included in Each Engagement
Every engagement is structured around the same four pillars. What changes across SKUs is the depth of treatment in each.
| Pillar | Sprint ($25K) | Strategy ($65K) | Fractional ($15K/mo) |
|---|---|---|---|
| Organizational Readiness | ●●● | ●● | ●●● |
| Strategy & Roadmap | ●● | ●●● | ●●● |
| Training & Upskilling | ● | ●● | ● |
| Leadership & Recruiting | ● | ●● | ●●● |
●●● Deep — the core deliverable | ●● Substantive — planned & scoped | ● Diagnostic — gaps identified & prioritized
Pick by pillar:
Stuck pilots or unclear baseline? → Start with the Sprint. Readiness is the lead pillar; the other three are diagnosed for follow-up.
Need a portfolio-level AI thesis? → Strategy & Roadmap. All four pillars planned together; Strategy goes deepest.
Need a senior peer in the leadership team? → Fractional CAIO. Continuous coverage of all four; Leadership & Recruiting is the largest ongoing workstream.
Where This Works Best
Engagements tend to land hardest in a specific zone — and there are situations where Intelligence Briefing not the right call. Worth a quick honest read before you book a discovery call.
| When this tends to work | When it's worth a different conversation |
|---|---|
| You’re at a $100M–$2B enterprise (or a growth-stage company headed there) | You’re a Fortune 100 with a Big 4 retainer already in place — their machinery is built for that scale, and mine isn’t |
| You have at least one AI initiative that’s stalled, struggling, or about to scale | You’re earlier than Series B or under $25M in revenue — most of my work assumes structures you may not have yet |
| Your leadership team is ready to make decisions — not just commission another research report | You’d rather have someone make the call for you — these engagements equip your team to decide, not replace them |
| You’re looking for senior outside perspective without the overhead of a Big 4 engagement | Cost is the primary filter — I’m priced for senior delivery and continuity, not for being the cheapest hourly option |
The HUMAN Agentic AI Edge Operating Model
Every engagement applies the HUMAN Agentic AI Edge Operating Model — our proprietary framework for building accountable, AI-ready teams that integrate agentic AI with human judgment without sacrificing quality or trust.
The model addresses the core gap most enterprises face as they move from tool deployment to operationalizing agentic AI: how to preserve accountability, quality, and trust as autonomous agents take on more decision-influencing work.
It covers operating principles, role design, governance checkpoints, measurement frameworks, and the cultural shifts required to maintain quality as AI takes on more responsibility.
Published in full in The HUMAN Agentic AI Edge — Andreas Welsch’s second best-selling book — the framework is now standard in every Intelligence Briefing engagement.
What You Can Expect from an Engagement
| Dimension | What clients typically see |
|---|---|
| Time to first measurable outcome | 30–90 days |
| AI project success rate vs. industry baseline | Significantly higher than Gartner’s predicted 15% baseline |
| Executive-level alignment achieved | Within the first 4 weeks |
| Workforce AI capability lift (post-training) | Measurable via pre/post competency assessment |
Client Results
“Through the Certified AI Leader program, our team has gained the confidence to scale our AI adoption, building the first team of AI agents within 2 weeks.“
Head of Customer Service
Global Manufacturing Leader
“Andreas has shared clear and actionable insights with our participants. It was exactly what leaders need to guide workforce change.”
Head of Learning & Development
Financial Services Industry
“We have been able to reduce the time to create our monthly stakeholder reporting by 80% and increase positive feedback.“
Head of Communications
Non-Profit Organization
Why Intelligence Briefing
Andreas Welsch is an internationally-recognized AI leader who spent 25+ years in enterprise technology leadership, including global AI roles at SAP, and has since written two best-selling books on enterprise AI and advised Fortune 500 executives on the specific problems you are facing.
His work has been featured in CIO.com, VentureBeat, InformationWeek, CNBC, and the American Management Association. He is an Adjunct Professor at West Chester University of Pennsylvania, a LinkedIn Top Voice, and a Thinkers360 Top 10 Thought Leader in AI, Generative AI, and Agentic AI. His LinkedIn Learning courses on AI for business leaders have reached 100,000+ students globally.
Next Steps
– Start with an AI Readiness Discovery Call — 30 minutes, no cost, executive-level framing
– Explore the Certified AI Leader™ training program — for L&D leaders evaluating cohort-based AI upskilling
– Read The HUMAN Agentic AI Edge — the methodology behind every engagement
Frequently Asked Questions
How do I know if we need an AI readiness assessment or an AI strategy engagement?
What is the typical engagement length?
Do you work with organizations outside the Fortune 500?
How do you measure success in an advisory engagement?
Can training & upskilling integrate with our existing L&D stack?
What makes the HUMAN Agentic AI Edge Operating Model different from other AI frameworks?
How do you handle confidentiality and competitive engagements?
How do we get started?
Contact us
Tell us about your project, priorities, or specific AI-related needs.