Executive summary
Strategist for twenty years, builder for the last few.
A short read for leadership teams. Where I have worked, what I work on now, and how I tend to partner. The full record is at jasonlovell.ai.
Partnership
Working sessions
Frame outcomes and guardrails with the teams that ship the work.
Delivery
Product enablement
Blend strategy, product leadership, and content design to keep momentum.
Immersive
Hands-on demos
Prototype ideas quickly in the lab to earn buy-in and confidence.
How I work with teams
From framing to delivery
Workshops with leadership to agree the AI mandate and success criteria.
Strategy co-design
Translate ambition into a small number of accountable bets, surface constraints early, and map the data / platform implications before engineering starts.
Pair with product and content teams to move ideas into production.
Product + content delivery
Shape roadmaps, service blueprints, and workflow design so launches balance craft, governance, and measurable adoption.
Upskill teams and leave behind tooling that is simple to run.
Capability handover
Define playbooks, rituals, and documentation so internal teams own the capability, not an external consultant.
Principles
What partners can rely on
Clarity over theatre
No vanity decks. We capture decisions, blockers, and next steps in shared documents the team already uses.
Preference-aware delivery
Accessibility, privacy, and governance guardrails are considered from the first workshop, not bolted on at the end.
Accountable storytelling
Leaders get succinct updates with the narrative support they need to explain why the work matters.
Rhythm
Cadence that keeps everyone aligned
Executive alignment
Fortnightly checkpoints to make sure decisions hold up against strategy, budget, and risk.
Maker cadences
Working sessions with product, engineering, and content owners to unstick delivery details.
Go-live storytelling
Support for comms, enablement, and measurement so teams can explain the value with confidence.
Leave-behinds
What stays with your team
Decision logs
Running notes that track context, trade-offs, and owners so momentum isn’t lost between meetings.
Experiment playbooks
Templates that help teams spin up AI pilots safely and measure what they learn.
Executive readouts
Concise summaries to brief boards, investors, or partners on progress without revealing sensitive data.
Worth a conversation
Working out whether agentic AI is real for your situation, or hiring for a senior AI role, or wanting another set of eyes on something. Any of those is fair.