A senior AI partner on retainer.
Most middle-market companies don’t have an AI team — and don’t need to hire one. AI Office gives you dedicated time every month with senior strategists and engineers to plan, learn, and build, without a six-figure commitment on day one. Plans start at $2,500/mo.
Don’t just “do AI.” Be the leader who got it right.
Five years from now, the businesses that won this decade won’t be the ones who moved fastest or spent the most. They’ll be the ones who made the right calls — what to build, what to buy, what to ignore, when to wait, when to bet — and got those calls into production.
That last part is where most companies stall. Roughly 80% of AI projects fail or never reach production. Not because the technology doesn’t work, but because the business wasn’t prepared. The systems weren’t ready. The data wasn’t usable. The team wasn’t on board. And the experiment quietly died on a shelf next to the last three.
You don’t need another side project. You need a partner who’s spent two decades shipping software, data, and AI work inside companies your size — and who knows how to integrate AI directly into your operations without breaking what’s already working. Someone who operates inside your environment, not around it. Who gets your people adopting new ways of working, not resenting them.
That’s AI Office. A senior team on retainer, in your business every month, helping you make the calls — and deliver them — that put you on the right side of this. Plans start at $2,500/mo., so you can start small and prove the partnership before you scale it.
Three plans. All less than a full-time hire.
Clarity before commitment: we answer the right questions first — where you're at, what your people need to learn, what's worth building, what it'll cost, and the size of the prize. Then pick the plan that fits where you are. Move up, down, or out any time — it's month-to-month, no lock-in.
A senior AI strategist in your corner, with a practical roadmap, executive coaching, and a real build or two each quarter to keep momentum honest. The lightest-touch way to get serious about AI and automation.
- Senior AI strategist dedicated to your business
- Executive AI coaching for you and your leaders
- Living AI roadmap, refreshed quarterly
- 1–2 basic builds per quarter (automations, simple copilots, reporting workflows)
- Quarterly executive briefing tailored to your industry
- Independent vendor and tool advisory
- Managed support for what we build — kept running, monitored, and fixed
- Slack and email access, next-business-day response
- Weekly touchpoint; quarterly review & planning
Strategy, engineering capacity, and a regular build cadence for teams that want practical AI and automation wins without spinning up a full internal team.
- Everything in Sherpa, plus:
- Dedicated engineering capacity each month
- A regular build cadence — one heavier build a quarter or several lighter ones (automations, copilots, reporting workflows, integrations, internal AI tools)
- Hands-on data & systems work, not just advisory
- Production support — infrastructure, security, monitoring, fixes & enhancements for what we ship
- Monthly executive prioritization session (in-person when possible)
- Preferred path into larger Value Sprint work when an opportunity is ready to scale
A standing senior AI team inside your business — a multiplier that helps you prioritize, build, adopt, and scale intelligent and agentic systems across multiple operational areas at once. For operators who want to build, and build fast.
- Everything in Operator, plus:
- An active build queue across multiple functions at once
- A dedicated build pod — a senior team, not a single hire
- Full governance & security layer, run by a SOC 2 Type 2 team
- Managed production support across every system we run — issues, enhancements, and uptime
- An annual operating roadmap across the business
- Priority path into larger Value Sprint or multi-quarter work
We meet you where you are — and take you further.
AI only pays off when it's adopted, not just deployed. So every plan moves you and your team through the same three gears — and we meet you where you are today, leaning into whatever the moment calls for as your needs shift. We're already thinking a step ahead, helping you grow both as a leader and as an organization.
Find the plan that fits where you are.
The problem each plan solves, who it’s for, what a month actually looks like, and exactly what changes when you grow into the next one.
Sherpa
Best for: A curious operator with no internal AI lead.
The problem: You feel the pressure to "do AI" but have no one to own the calls.
A month looks like: A working session or two, executive coaching, a refreshed roadmap, a basic build or two, and a straight answer whenever a vendor pitch or new idea lands on your desk.
When you move up: Move up to Operator once you’ve found one or two opportunities worth building in earnest.
Operator
Best for: An operator ready to ship, with 1–2 opportunities identified.
The problem: You know what you want built — you just don’t have the team to build it.
A month looks like: Strategy plus a real build cadence: one heavier build a quarter or several lighter ones, plus hands-on data and systems work, prioritized with you each month.
When you move up: Move up to Embedded when AI is touching multiple areas and you want a standing team.
Embedded
Best for: A roll-up CEO or PE-backed operator moving fast across the business.
The problem: AI needs to move across several functions at once, with senior capacity behind it.
A month looks like: An active build queue across functions, executive coaching for your leadership team, full governance, and a senior build pod operating inside your business under one annual operating roadmap.
When you move up: Convert high-impact work into Value Sprints or a multi-quarter program as it scales.
Same year. Different speed.
The plan you pick sets how much gets built and how fast it moves. Three illustrative operators — one on each plan — over their first twelve months. (Archetypes, not specific clients.)
Sherpa
A $30M professional-services firm. A curious CEO, no internal AI lead.
- Q1 — Strategy, executive coaching, a living roadmap. First small automation live.
- Q2–Q3 — A basic build or two each quarter: inbox triage, a reporting automation, a research copilot.
- Q4 — The team is fluent, the roadmap is real, and the next bets are obvious.
By month 12: A leadership team that gets AI, a handful of automations running, and a clear path to build in earnest.
When one idea grew big enough, they scoped it as a Value Sprint.
Operator
A $40M manufacturer ready to build, with two opportunities identified.
- Q1 — Dedicated engineering capacity online. First heavier build shipped: a quoting copilot.
- Q2–Q3 — A real cadence: dispatch automation, a reporting integration, internal AI tools — prioritized monthly.
- Q4 — Multiple workflows running in production; the next quarter already scoped.
By month 12: A standing build cadence and several production workflows — without spinning up an internal team.
The heaviest builds ran as Value Sprints inside the relationship, each with a KPI behind it.
Embedded
An $80M multi-division, PE-backed operator moving fast.
- Q1 — A senior build pod embeds. Governance and security stood up. Queue opens across finance, ops, and sales.
- Q2–Q3 — Builds ship in parallel across functions; agentic systems start taking real work off plates.
- Q4 — A company-wide operating system taking shape, with an annual roadmap across the business.
By month 12: Far more shipped in a year than any single hire could — AI moving across the whole business at once.
The biggest lifts ran as a multi-quarter program of sequenced Value Sprints.
The bigger, standalone builds run as Value Sprints — each with a KPI behind it — sequenced inside the relationship.
Side by side.
| Capability | Sherpa | Operator | Embedded |
|---|---|---|---|
| Senior AI strategist | ✓ | ✓ | ✓ |
| Executive AI coaching | ✓ | ✓ | ✓ |
| Living roadmap | Quarterly | Monthly | Annual operating roadmap |
| Strategy cadence | Quarterly | Monthly | Embedded / weekly |
| What we can build | Automations & simple copilots | Tools, copilots & integrations | Intelligent & agentic systems |
| Build volume | 1–2 basic / quarter | 1 heavier or several light / quarter | Active queue, multi-function |
| Engineering capacity | — | ✓ | ✓ — dedicated pod |
| Data & infrastructure work | Advisory | Hands-on | Hands-on + governance |
| Governance & security | Basic | Standard | Full governance & sentinel |
| Production support | Monitored & maintained | Fixes & enhancements | Fully managed, multi-system |
| Team footprint | Fractional lead | Lead + engineering | Senior build pod |
| Response time | Next business day | Same day | Priority |
| Monthly investment | $2,500 | $5,000 | $10,000 |
Less than one uncertain hire.
A single internal AI lead runs $150K+ all-in once you count salary, benefits, and ramp. And the person who can actually do this — strategy, builds, data, and agentic systems — is rare. Most are freelancers or unproven early-stage startups: hard to vet, hard to keep, and tough to manage if you’re not technical yourself. AI Office is that capability — senior, vetted, and managed — for less, starting at $2,500/mo. Move up, down, or out any time — it’s month-to-month, no lock-in.
Know the outcome you want? Scope a Value Sprint. Want a productized system? browse Solutions.
From sign-up to first AI win in 30 days.
No 6-month onboarding, no drawn-out procurement. Pick a plan, sign a short SOW, meet your team, get to work.
We don't hand it off. We keep it sharp.
Most AI dies in production, not at the demo. Everything we build stays supported inside your plan — monitored, maintained, and improved as your business changes. No orphaned tools.
Maintenance & support
Uptime, reliability, and issue resolution for what we've built. It keeps working — and when something breaks, we fix it.
Managed evolution
Continuous improvement, not set-and-forget. Small tweaks and enhancements as your workflows, data, and team change.
The compounding effect
Each build makes the next faster and cheaper. Systems share data and infrastructure, so value compounds instead of fragmenting.
Common questions.
Is AI Office right for a business my size?
What does “dedicated time each month” mean?
What kind of build can you ship in a quarter?
Can I cancel?
How does this lead to bigger work?
Who is “the team”?
How does contracting work?
How do I know it’ll actually ship — and not become shelfware?
Is our data safe?
Partner, not vendor.
Frogslayer is easy to work with — they communicate in a detailed, professional manner without wasting time, and the work product is top level. They suggested an approach we hadn’t considered and built a product that works even better than we envisioned.
You guys really exceeded my expectations. The understanding the team has of our complex business is impressive. We’ve come a long way and you guys made it happen.
The simplest way to start working with us.
Pick a plan when you’re ready, or talk first — 30 minutes, no slide deck. We’ll tell you straight if AI Office is a fit or if you should start elsewhere.