Operator-built AI playbooks
We’re operators who’ve already deployed AI across our own businesses — exec, sales, marketing, product, design, engineering. We bring those playbooks and tools with us, configure them for your team, and have your company using AI on real work in weeks, not quarters.
of mid-market leaders say AI is a top-three priority this year
Deloitte, Mid-Market Pulse 2025
say it has actually changed how their team's day looks
Kindling client benchmarks, 2025
the gap is not technology. It's change.
The approach
Tools land. Slack channels light up. A few power users go feral. Everyone else watches, waits, and quietly carries on with the old workflow. Six months later, the dashboard says adoption is flat and nobody can quite explain why.
Kindling is built different on purpose. We’re operators who’ve already done the work — inside our own businesses, across exec, sales, marketing, product, design, and engineering. We didn’t learn this from a deck. We learned it on our own P&L.
So we arrive with the playbooks already built and the tools already configured. Our job is to drop them into your team, tune them to your context, and stay until the new behavior is the boring default — not a top-down initiative your team quietly outlasts.
What we bring
Before Kindling existed, we built and shipped AI inside our own businesses — across every function below. Every playbook on this list has been used to move real work, not just fill a deck. We arrive with the tools already configured. Your team starts adopting in week one.
Weekly reviews powered by AI-summarized data rooms, board prep that writes its own first draft, and a decision log that doesn't rot. Configured for your cadence in week one.
Pipeline reviews that write themselves, AI-drafted follow-ups that sound like your AE, and account research that arrives before the rep does. Built in our own GTM motion and battle-tested on real quota carriers.
Editorial workflows that turn one strong idea into a week of content, lifecycle messages that actually personalize, and analytics that explain themselves. Drop-in agents your team operates, not a black box.
User-interview synthesis that doesn't lose nuance, PRDs your eng team will actually read, and a roadmap doc that updates itself from Slack and the bug tracker.
Briefs that capture intent in a paragraph, exploration loops that 10× the options you can put on the table, and design QA that catches the boring stuff before a human has to.
Cursor and Claude Code configured for your codebase, PR review agents that catch the third thing you would have caught, and runbooks that turn outages into closed loops.
Every playbook ships with the prompts, the tooling, the rituals to run it, and the metrics to prove it.
The model stack
We’re model-agnostic on purpose. We pick the right model for each job — frontier when it earns its keep, smaller and cheaper when it doesn’t, fully local when the data can’t leave the building. Every playbook in the previous section runs on this stack, and we’ll guide your team on choosing too.
Production-grade work across the Claude family — Sonnet, Opus, Haiku. We ship with Claude Code in the codebase, build agents on the SDK, and engineer for prompt caching, tool use, and MCP integration.
We use the full OpenAI stack — Responses, Agents, voice and realtime — and know which model earns its keep on which job. Cost-aware production patterns, not benchmark cosplay.
When the data can't leave the building — finance, legal, healthcare, regulated workflows — we deploy open models inside your perimeter. Same playbooks, your hardware, no API call leaving your VPC.
Vendor-neutral by design. The right model for the job, the right deployment for your risk posture, and an exit plan from any of them.
What we do
We compose engagements from these four practices. Most teams start with the diagnostic and grow from there.
We meet your people where the work actually happens — in tickets, deals, designs, code, and meetings — and hand you a clear-eyed map of where AI changes the math and where it doesn't.
We turn the diagnostic into the way Mondays actually run: standups that surface AI bets, weekly reviews that close the loop, and per-function playbooks your team can pick up and use without a deck.
Coaches working alongside your team — in their tools, on their calls. We run the rituals, build the prompts, ship the playbooks, and stay until the new behavior is the boring default.
Your leadership sets the temperature. We work with founders and ops leaders on the harder questions: what work disappears, what new work emerges, and how to talk to your team about both — honestly.
The process
We don’t run discovery sprints from a war room. We sit next to your people until we can do their job.
We embed with the people doing the actual work. Sales calls, design reviews, support queues, financial close. Before we recommend a single tool, we see how Mondays really run.
We arrive already holding the playbooks. By the end of week two, the right ones are configured for your stack, your data, and your tone — and a first cohort is using them on real work.
We stand up the rituals, train your champions, and rewrite the metrics. Then we keep showing up — because change that ships in a memo doesn't survive contact with Q4.
Models change. Vendors churn. Teams reorg. We stay close enough to your operating cadence to keep the fire burning long after the launch dust settles.
Our manifesto
We measure success by what work moved, not how many seats lit up. If your sales team didn't write fewer emails this quarter, the rollout didn't work.
Most pilots exist so nobody has to decide. We design engagements that force the call: invest deeper, or kill it clean. Either is fine. Drifting is not.
There's a 5% who'd use any tool you handed them. The work is for the other 95% — the people whose careers you're asking to change.
If AI is going to take work from your team, say so. Plainly. Then help them go somewhere new. The companies that won't have this conversation will lose the trust war first, and the talent war right after.
A 30-minute call. No deck. We’ll ask three honest questions about your AI rollout, tell you what we’d do, and you can take the answers home for free.
Booking channel opens shortly