Everything founders ask before working with us — the audit, the engagement, what it costs, and what happens to your data.
Two weeks end-to-end. Week one is discovery, shadowing and stack review. Week two is scoring, prioritization and the deliverable readout with your leadership team.
Read access to the tools we're auditing (CRM, support, ops stack), an org chart, and 30-minute interviews with 4–6 people across functions. We sign NDAs upfront and work through your SSO.
No. Most of our clients don't have one. We bring the technical lens — your team brings the business context. If your stack is messy, that's the point of the audit.
An AI Readiness Score, a prioritized opportunity map with effort/impact scoring, cost-saving estimates per workflow, and a 90-day roadmap. Delivered as a live readout plus a written report.
Default is remote — it's faster and cheaper for you. We'll fly in for the kickoff and readout if you want it, billed at cost.
Yes, before any discovery call. We'll sign yours or send ours — whichever moves faster.
Typically 3–4 weeks after the audit wraps. We don't wait for the perfect spec — we ship the highest-ROI workflow first and iterate from production.
A senior strategist owns the relationship, plus 1–2 builders depending on scope. No account managers, no offshore handoffs. You'll know everyone shipping your work by name.
Ideal starting point, actually. We get to pick the right stack from scratch instead of working around legacy decisions someone else made.
Week 1: audit. Week 2: strategy & roadmap. Weeks 3–6: build, integrate, QA, rollout. Week 7+: monitoring, tuning and the next opportunity. You see working systems by week four.
Most of our clients are non-technical operators. We handle the technical depth; you stay focused on the business. Everything we ship comes with plain-English runbooks and training.
Because the honest answer depends on scope. A single-workflow build is very different from a full ops overhaul. We quote fixed fees after a 30-minute call so there are no surprises.
Fixed-fee per phase. Audit is a flat rate. Build phases are scoped against the roadmap with a clear deliverable and a clear price. No hourly billing, no scope creep clauses.
Yes — for clients post-build who want ongoing optimization, new agent rollouts, or a fractional AI team. Monthly, cancel with 30 days notice.
Audits start in the low five figures. Build engagements range from mid-five to low-six figures depending on scope. Most clients see payback inside the first quarter post-deployment.
If the audit doesn't surface at least 3x its cost in identified savings or revenue, we refund it. For builds, we don't invoice the final milestone until the system is in production and hitting its agreed metric.
Yours. Always. We never train models on your data, never share it, and delete our working copies at the end of the engagement unless you ask us to retain them.
In your infrastructure or in vendor accounts you own (your OpenAI org, your database, your cloud). We don't run anything on AI Pop-owned servers in production.
All of the above, depending on the task. We pick the right model per use case — frontier models for reasoning, smaller fine-tuned ones for routine work. Vendor-agnostic by design.
95% of the time, existing models with strong prompting, retrieval and tool use beat custom training on cost and time-to-value. We only train custom when the data and the use case actually require it.
You do. Full code, prompts, configs and runbooks transfer to your team. No black boxes, no vendor lock-in to us.
We hand it over. We document everything as we build, train your team during rollout, and offer a 30-day transition window at no extra cost. Building a moat against your own team isn't a business model.