The AI-Native MSP Blueprint.
A short, structured engagement that examines your partner business, finds where AI can create measurable economic impact, and proves one of those opportunities before you commit to anything broader.
"Would you like to see our AI platform?"
"Where in your business is labour expensive, information falling through the cracks, or margin deteriorating — and what would you actually trust an agent to execute?"
Five areas of the partner business.
The review is deliberately economic rather than technical. We are looking for where money, time or customers are being lost — not where AI sounds impressive.
Revenue
Marketing → lead generation → qualification → sales → presales → deal desk.
- Where pipeline actually comes from
- Cost per qualified opportunity
- Presales and quoting bottleneck
- Win rate by deal type
Service
Onboarding → service desk → escalations → knowledge → engineering.
- Tickets per technician and handle time
- Where technicians stop to search
- Escalation quality and rework
- Documentation debt
Customer lifecycle
Adoption → QBR → renewals → expansion → churn.
- Renewal risk visibility and timing
- QBR preparation effort and consistency
- Expansion signals being missed
- Churn reasons you can actually see
Operations
Procurement → licensing → provisioning → billing → reconciliation → reporting.
- Reconciliation hours per month
- Known or suspected leakage
- Renewal and cancellation windows
- Onboarding and offboarding drift
Management
Forecasting → margin → utilisation → productivity → business intelligence.
- Margin by customer and by service line
- Technician utilisation reality
- Forecast confidence
- Decisions made on stale data
Does this materially improve the economics of a technology partner?
Every idea that survives the review has to pass that question. If it does not, it does not make the map.
The AI Opportunity Map.
A prioritised list of opportunities, each described in business terms — not a technology wish list. Every line has to be defensible in front of your own leadership team.
| Business problem | Current process | AI intervention | Systems involved | Expected outcome | Complexity | Priority |
|---|---|---|---|---|---|---|
| Licence and invoice leakage | Monthly manual reconciliation between distributor and PSA | Continuous reconciliation agent with exception alerts | Distributor · PSA · Invoicing | Recovered margin, hours returned | Medium | High |
| Renewal exposure | Calendar reminders and spreadsheets | Renewal Sentinel watching windows and quantities | Partner Center · PSA · Billing | Avoided liability, better renewals | Medium | High |
| Technician time lost to search | Technicians hunting across docs, tickets and vendor portals | Knowledge-grounded support assistant with runbooks | PSA · RMM · Documentation | Lower handle time, more capacity | Medium | High |
| Unpredictable pipeline | Referral dependency with intermittent outbound | Continuous research and outbound with qualification | CRM · Email · Web | More qualified conversations | Medium | Medium |
| Presales bottleneck | Best engineer consumed by options, licensing and BOMs | Presales assistant generating options and artefacts | CRM · Vendor catalogues | Faster quotes, more proposals | High | Medium |
| QBRs not delivered | Manual preparation, skipped in busy months | Automated health, summary and QBR pack generation | PSA · Meetings · Licensing | Retention, expansion revenue | Low | Medium |
| Onboarding and offboarding drift | Checklists with manual steps and stale assets | Lifecycle agent across identity, device, PSA and billing | M365 · Intune · PSA · Billing | Fewer errors, cleaner records | High | Medium |
Illustrative structure. Your map is built from your own systems, service catalogue and numbers.
Diagnose. Prove. Expand.
This is a consulting-to-platform motion, not a licence sale. Each stage has to earn the next one.
Diagnose
Structured review of the five areas with the people who run them, against your real systems and numbers.
Prioritise
Opportunities scored for value, feasibility and complexity. You get a ranked order, not a menu.
Prove
One high-value workflow implemented against an agreed evidence standard. Real work, real measurement.
Expand
Additional workers and agents deployed where the first one earned trust — often adjacent functions.
Integrate
Agents connected across systems and departments, becoming an execution layer rather than a point tool.
- Access to the people who run each function
- A view of your stack and systems
- Rough numbers: tickets, headcount, margin, churn
- Willingness to name the real bottlenecks
- A prioritised AI Opportunity Map
- One proven workflow
- An evidence standard for judging it
- A defensible recommendation on what to do next
- Propose a twelve-month transformation programme
- Recommend AI where a process fix is cheaper
- Sell you seven workers before you have proven one
- Pretend a system without an API is easy
We are selecting a small number of partners.
We would rather go deep with a handful of partners than broad with a hundred. Design partners work with us on the workflows, the packaging and the white-label path — and get early positioning in return.
- Direct influence on the product roadmap
- Design-partner commercial terms
- Early access to the white-label AI managed services path
- Co-development of the workflows that matter most in your business
- MSPs and CSPs with 10–200 staff and real service delivery volume
- Microsoft partners carrying CSP, NCE and Partner Center complexity
- Google partners managing Workspace resale, entitlements and renewals
- Systems integrators with presales-heavy, project-based delivery
- Distributors and vendors serving partner communities at scale
Priority is given to partners willing to share real operational data and to hold us to a measurable outcome.
About the Blueprint.
How long does it take?
Is this a sales process in disguise?
Do we have to implement with you afterwards?
What size partner is this designed for?
We already run AI experiments. Is this still useful?
Let's map where AI could materially improve the economics of your business.
One conversation. Your operation, your margin, your bottlenecks. No platform demonstration.