Bring me one workflow or one AI initiative. I will tell you whether it needs a sprint, a diagnostic, or nothing at all.
Startup operators: automate one painful workflow in 1-2 weeks. Data teams: get a clear verdict on whether your stack is ready for production AI.
If one workflow is eating your team alive, start with the sprint. If a larger AI push is blocked by stack maturity, start with the diagnostic. No "contact us for pricing" -- both prices are on this page.
Best for founders, operators, and RevOps-heavy teams with one manual workflow that is already painful enough to fix now.
Best for heads of data, analytics leaders, and technical teams who know AI matters but need a real read on whether the current stack can support production work.
The offer changes based on your buying moment, but the work stays practical: reliable data, working automations, and production-minded implementation.
Reporting briefs, routing logic, enrichment, CRM cleanup, document extraction, and other internal automations that are painful enough to justify a fixed-scope sprint.
dbt, Terraform, CI/CD, testing, and governance work that makes production AI possible instead of fragile. The layer serious AI work actually depends on.
When the stack is ready, I build agents and decision systems on top of real operational data, with handoff documentation and clear ownership.
Series A SaaS · 5 days
Pulled numbers from Stripe, HubSpot, and spreadsheets into an automated KPI brief delivered in Slack before standup. Replaced three hours of Monday reporting every week.
Series B SaaS · 6 weeks
Built a dbt + Terraform + CI/CD foundation that gave the team reliable models, infrastructure discipline, and enough trust to unblock two agent deployments within three months.
Fixed price · Published pricing
Every engagement starts with a written scope note within 24 hours of the fit call. Fixed price, no hourly billing, no open-ended discovery. $5K-$8K for a sprint. $15K for the AI Stack Audit. Both prices are on this page.
Anmol Parimoo · dbt Labs Certified Partner · 8 years in data engineering and AI
You get the person who scoped it building it -- from kickoff to handoff.
Most firms send a senior salesperson to close the deal and a junior analyst to do the work. That's not what happens here. The person you speak to on the fit call is the same person writing the code, making the tradeoffs, and handing off the documentation.
I bridge messy data, infra discipline, and production AI. That means no interpretation lag, no hand-off ambiguity, and direct accountability for what gets built.
I work primarily with B2B SaaS and growth-stage teams that want fixed scope, direct communication, and practical delivery instead of AI theater.
Same path for both offers: fast fit, fixed scope, direct delivery.
Tell me the workflow that is wasting time or the AI initiative that is blocked. I reply with whether it looks like a sprint, a diagnostic, or not a fit.
We confirm the pain, the systems, and the constraints. If I can help, you get a fixed-scope recommendation quickly. If I cannot, I tell you that too.
Book the 15-minute call →RapidOps typically ships in 1-2 weeks. The AI Readiness Diagnostic runs for 2 weeks. Both paths end with a concrete deliverable, direct handoff, and clear next steps.
I will tell you whether it needs RapidOps, the AI Readiness Diagnostic, or no project at all. Start with a 15-minute fit call or send the problem in writing.
15 minutes. No obligation.
Bring one problem. Leave with a recommended next step. Schedule nowA yes or no on fit, the right offer, and the next move.
No slide deck. No vague follow-up. No pressure if it is not a match.
