The Trough of No Value: Why AI Readiness Projects Fail
This article has been written by Tim Hickle
The Trough of No Value: Why AI Readiness Projects Fail
The Trough of No Value is the flat customer-value curve that follows an AI readiness project when no managed service is in place. The MSP runs an assessment, turns Copilot licenses on, delivers a roadmap document — and then the engagement closes. The client paid for readiness and never captured the ROI. The trough is the gap between turning AI on and someone keeping it on. It is the single most common failure pattern in SMB AI work in 2026 — and it is structural, not accidental.
Why the Trough of No Value Is the Margin Killer in MSP AI Projects
For MSPs, the Trough of No Value is the reason AI revenue has been hard to convert into AI margin. Most MSPs we talk to have done at least one of these motions in the last 18 months:
- An AI readiness assessment scoped as a fixed-fee project.
- A Copilot enablement workshop delivered as a half-day session.
- A "custom AI strategy" engagement with a six-figure price tag.
Every one of those motions runs into the same trough — because the readiness, the workshop, and the strategy are all front-loaded work. The hardest, most billable hours are at the start. The ROI for the SMB doesn't materialize until months later, and only if someone keeps the practice in place. If the engagement ends at delivery, the value never compounds.
Gartner found that only 28% of AI initiatives meet ROI expectations without a structured, phased delivery model. Prosci's 25-year change-management benchmarking study found organizations are 3.5x more likely to meet transformation objectives when executive sponsorship is active and visible. BCG's 2025 research found that AI success is 70% people and change management, only 10% technology. None of these factors get addressed by a project. All of them get addressed by a practice.
The TaaS reframe is structural:
- Same playbook. Pre-contract & ROI (Phase 0), Strategy & Governance (Phase 1), Technical Readiness (Phase 2), AI Roadmap Kickoff (Phase 3) — the same four phases the MSP was already running as a project.
- Different commercial wrapper. Phase 0–3 is delivered as onboarding inside a managed retainer, not as a billable kickoff. The MSP absorbs the front-loaded hours, the same way Managed IT or VCISO rollouts absorb initial deployment work.
- Recurring cadence after Phase 3. The Monthly AI Council, the QBR AI Segment, the Continuous Scanner, ongoing training rollout, AUP enforcement, use case sequencing — all of it continues every month.
The MSP is net negative on margin for months 1–4. From month five forward, the retainer is strong recurring revenue. The customer value line — flat under a project — climbs every month under TaaS.
The MSP question to ask honestly: *if our last AI engagement at this client ended, what's the next billable interaction?* If the answer is "they have to come back for another project," you're shipping the Trough of No Value.
How SMBs Recognize the Trough of No Value in Their Own AI Investments
For SMB executives, the Trough of No Value usually shows up six months after the project ended. You paid for an assessment. You got a slide deck. Maybe you signed up for some Copilot licenses. Then the IT team got pulled into something else, the champions you identified moved on or got busy, the AUP draft never got finalized, and ChatGPT use crept in through browser tabs nobody is monitoring.
The trough is not a sign that your MSP is bad or that you wasted money. The trough is the shape of every AI readiness project in the market today. It happens because:
- The hardest work — getting employees to *actually use* the tools in their day-to-day — happens after the project ends.
- Microsoft's 2026 Work Trend Index found 67% of AI's real impact comes from organizational factors (culture, manager modeling, talent practices) — and those factors take months of consistent leadership attention to move.
- 70% of AI success is people and change management, according to BCG. No project delivers ongoing people work.
- Without an executive sponsor pulling the rope every month, employee AI positivity sits around 15%. With active leadership support, it rises to 55% (BCG 2025).
The TaaS answer is to convert the project into a practice. You still get all the same artifacts — the assessment, the roadmap, the policy, the training. But you also get a VCAIO who shows up every month, a Monthly AI Council where leadership decisions get made, and a QBR AI Segment where ROI gets reported. The value line keeps climbing instead of flatlining.
The honest test for SMB leadership: *do you know what your AI practice is delivering next month?* If yes, you're in a managed practice. If no, you're in the trough.
How Lemhi Helps MSPs Close the Trough of No Value with Managed Practice Delivery
Lemhi built the TaaS framework specifically because the founding team — 45+ years of combined MSP and SaaS experience, with two prior MSP SaaS exits — kept seeing the Trough of No Value in their own MSP partners' client books. The pattern was too consistent to be an execution issue. It was a model issue.
- Engage (GA June 2026) runs the Phase 0 motion that lets MSPs convert an existing AI conversation into a TaaS retainer instead of a one-off assessment. The product runs the AI Leadership Survey, calculates ROI, builds the Plan + Readiness Score, and produces a packaged proposal.
- VCAIO tooling automates the prep so the Council and QBR motions are sustainable across the MSP's full client book. The VCAIO walks into every meeting with curated observability, training, and survey data.
- Standardized recurring artifacts — Council agenda, QBR slides, Maturity Score, AUP review cadence — mean the practice keeps shipping the same way every month, every client, every VCAIO.
- The Continuous Scanner keeps Copilot and M365 hygiene moving in the background. Permissions, sensitivity labels, shadow AI, sharing risk — all of it surfaces to the PSA ticket queue instead of accumulating as silent debt.
Lemhi's whole product thesis is: the trough doesn't close itself. You have to wrap the project work in a practice. We sell the practice.
Build the AI service line your clients are already asking for.
Every week, we send practical guidance for MSPs turning AI from scattered conversations into a repeatable managed service. No hype. No generic AI takes. Just the operating playbook.
For MSP leaders building the next recurring revenue category.
Trough of No Value FAQ
Practical answers for MSPs explaining why AI readiness projects stall, why TaaS creates continuity, and how to keep AI value moving after launch.
What is the Trough of No Value?
The Trough of No Value is the flat customer-value curve that follows an AI readiness project when no managed service is in place. The MSP captures revenue on the front-loaded readiness work, then disengages. The client paid for readiness and never captured the ROI.
Why do AI readiness projects fail?
AI readiness projects fail because the readiness work is front-loaded but the ROI is back-loaded. The hardest part, getting employees to absorb AI into their daily work, happens after the project ends. Without a managed practice in place, nobody owns the absorption phase.
How long does the trough usually last?
The trough usually lasts for the entire period after the project closes, typically months 4–12. It only ends if someone re-engages, which usually means another billable project.
How does TaaS close the trough?
TaaS closes the trough by absorbing readiness work into a monthly retainer instead of billing it as a project. The same playbook ships, but the engagement continues every month after Phase 3 through the Monthly AI Council, QBR AI Segment, training rollout, AUP enforcement, and observability.
Why don't more MSPs sell AI as a managed service?
Many MSPs do not sell AI as a managed service because the first few months of TaaS are net negative on margin, and project pricing feels less risky. The commercial logic, absorb onboarding and capture the long tail, is the same as Managed IT or VCISO. Most MSPs already understand it. They just have not applied it to AI yet.
What does the SMB experience under a project model?
Under a project model, the SMB experiences a flurry of activity for 60–90 days, a deliverable, a brief sense of momentum, and then the trough. By month six, the strategy doc is stale, champions have moved on, ChatGPT use is uncontrolled, and Copilot adoption has flatlined.
What does the SMB experience under TaaS?
Under TaaS, the SMB gets a monthly cadence. Decisions are made in the AI Council, ROI is reported quarterly in the QBR AI Segment, training is delivered continuously, the AUP is revisited as usage evolves, and observability is reported every month. The value line keeps climbing.
Is the Trough of No Value real or just a marketing concept?
The Trough of No Value is observable in the data. Gartner reports only 28% of AI initiatives meet ROI expectations without a structured, phased delivery model. BCG reports that AI success is 70% people and change management. CoreView's 2026 State of AI in Microsoft 365 found that 53% of admin teams report AI deploying faster than safeguards. All of those are shapes of the trough.
Can an SMB run AI well without a managed practice?
Some SMBs can run AI well without a managed practice, especially larger mid-market companies with internal AI leadership and change-management capacity. Most SMBs cannot, because they do not have a Chief AI Officer or a dedicated change-management function. The VCAIO inside TaaS is the substitute.
What about Copilot Quick Wins? Don't those create immediate value?
Copilot Quick Wins do create immediate value in Phase 3 of TaaS. But Quick Wins are early-stage absorption. Without ongoing reinforcement, the wins fade and the trough still arrives, just delayed.
How is the Trough of No Value different from the AI Execution Gap?
The AI Execution Gap is the distance between AI investment and AI value realized. The Trough of No Value is the specific shape that gap takes after a readiness-as-project engagement. The QBR exists to close the execution gap. TaaS exists to prevent the trough.
What's the role of executive sponsorship in closing the trough?
Executive sponsorship is decisive. Prosci's 25-year benchmarking study found organizations are 3.5x more likely to meet transformation objectives with active, visible executive sponsorship. BCG found employee AI positivity rises from 15% to 55% with active leadership support. The Monthly AI Council is the structural mechanism that keeps leadership engaged.
How fast can an MSP migrate an existing client from a project to TaaS?
An MSP can usually migrate an existing client from a project to TaaS inside one renewal cycle. The MSP repositions the existing Copilot or AI relationship as Phase 3 of a new TaaS retainer, names the VCAIO, schedules the first Council, and starts the recurring cadence. Lemhi Engage runs the Phase 0 motion that supports the conversion.
What evidence should I show my leadership team to make the TaaS case?
Show the Microsoft 2026 Work Trend Index, including 67% organizational vs. 32% individual impact, 80% Frontier Professionals, and 3.7x–10.3x ROI for top adopters. Add the BCG 10-20-70 rule, Prosci's 3.5x sponsorship lift, Gartner's 28% ROI without structured delivery, and the UK Government 20,000-user trial showing 26 minutes per day saved per trained user. All point to the same conclusion: the practice matters more than the tool.
Where can I learn more?
Lemhi publishes the TaaS framework, the VCAIO role definition, the Monthly AI Council format, and the QBR AI Segment guide. Sign up for Field Notes to get the weekly playbook.
Scale AI transformation across your entire book of business.
Most MSPs are stuck selling AI as scattered projects, Copilot rollouts, or one-off workshops. The MAGIC Framework gives you a repeatable path to package, sell, deliver, and manage AI Transformation as a Service across your client base.
For MSPs ready to turn AI demand into a managed service motion.
