AI Operating Partner · the flagship offer
Build the portfolio AI operating system in 90 days.
Create shared portfolio context, rank the work against operating value, move the first high-conviction priority toward real use, and install a cadence that keeps the learning from disappearing inside one company.
Send the portfolio context
Share the structure, current priorities, AI ownership, and the company or workflow with the most urgency. We will review it before replying.
§ 01 — The contract
One mandate that connects strategy, implementation, adoption, and evidence.
Included
- Sponsor kickoff and a current portfolio or entity map
- AI activity, workflow, systems, data, vendor, and internal-capability baseline
- A ranked opportunity portfolio tied to value, readiness, risk, ownership, and time to evidence
- One high-conviction priority moved toward an evaluated, working implementation
- Named workflow owners, adoption responsibilities, human-review boundaries, and acceptance criteria
- A decision log, reusable-pattern library, and value ledger
- Weekly leadership prioritization and a board-ready closing readout
- A sequenced roadmap and operating model for the next mandate
Not sold as
- A promise to transform every company in one quarter
- A blanket software license or vendor mandate
- Unlimited build capacity hidden inside a strategy retainer
- A slide deck that leaves portfolio companies to implement alone
- Success claims before baselines, access, owners, and evidence exist
§ 02 — The first 90 days
Context, proof, then cadence.
Days 1–30
Build the shared context
Map the companies, current priorities, active AI work, workflows, systems, data access, internal talent, vendors, risks, and sponsors. The output is one comparable operating view, not a survey nobody uses again.
Days 31–60
Prove the first priority
Select the strongest opportunity with leadership and the operating team. Shape the workflow, define the trust and adoption boundaries, and move the work toward an evaluated system or a fully committed implementation scope.
Days 61–90
Install the cadence
Turn the first implementation into an operating system: a ranked queue, clear owners, decision rules, reusable lessons, governance attached to delivery, and a roadmap leadership can keep governing.
§ 03 — After the launch
The Portfolio AI Office keeps the operating system alive.
The ongoing mandate exists only where the launch reveals recurring demand. It keeps context current, decisions prepared, implementation governed, and portfolio leaders connected to evidence rather than AI activity.
- 01Maintain the portfolio opportunity map and implementation queue
- 02Prepare sponsor decisions and portfolio-company working sessions
- 03Scope, govern, and review implementation work
- 04Track adoption, exceptions, evidence, and the next gate
- 05Share relevant patterns and reusable components between companies
- 06Monitor material AI developments and translate them into portfolio-specific actions
- 07Support diligence, vendor evaluation, training, and board communication as needed
§ 04 — Fit
The work requires an owner, access, and a real operating decision.
FAQ
Questions this pattern has to answer.
Why start with a 90-day launch instead of a long retainer?
The launch is long enough to build portfolio context, move real work, and see whether the operating cadence creates value. It is short enough that both sides must prioritize. The ongoing Portfolio AI Office is earned by the evidence and demand the launch reveals.
Does the launch include software development?
It includes the senior product, technical, workflow, governance, and implementation work required to move the first priority forward. Material build capacity is named explicitly in the scope rather than hidden behind an unlimited-retainer promise. Some launches include a bounded implementation; others conclude with a build-ready scope because access or complexity makes that the honest first milestone.
Who works with the portfolio companies?
Sprinter's delivery organization is now being built around this method — Tyler sets the method, the quality bar, and the direction, and senior delivery leads take over execution as the practice grows. Every scope names who is actually doing the work, and the specialist product, engineering, and workflow capacity a launch needs is written into it.
Can the fund or family office pay centrally?
Yes. The relationship can be contracted centrally, allocated to operating companies, or combine a central mandate with company-level implementation scopes. The right structure depends on governance, accounting, and where the value-creation budget sits.
What if we already have an internal AI or technology leader?
That usually improves the engagement. Sprinter can extend internal leadership with operating capacity, cross-company pattern recognition, product and implementation depth, and a neutral way to rank the work.
What do we need before the first working session?
A rough portfolio or entity map, the sponsor's current priorities, who owns AI today, the company or workflow with the most urgency, and a candid view of what has already been tried. Perfect data is not required; real ownership is.
The first decision
Decide whether the portfolio needs a shared operating layer.
Bring the portfolio shape, current priorities, and the company where urgency is highest. We will pressure-test the launch before proposing it.
Book the portfolio working session