AI consultancy · est. 2026

AI strategy that ships.
Talent that scales.

We help operators turn AI ambition into shipped products, audited roadmaps, and embedded engineers without the deck-only consultancy tax.

See our work ↓
Discovery
1-week paid sprint · written assessment, no strings
Engagements
From $25K diagnostic · up to $250K+ build
Time-to-prod
First production system in < 8 weeks
Shipped this week
12production systems
Shipped · not piloted
$40Madvised
In client AI spend
4industries
Health · Fintech · Retail · GovTech
8wavg. to prod
Diagnose → Deliver
01 · What we do

Three ways in. One way out: production.

Pick the engagement that matches where you are. Strategy when you don't know what to build. Build when you do. Talent when you need senior hands inside your team this quarter.

01 / Strategy & Roadmaps★

Know exactly what to buildand what not to.

We audit your stack, your data, and your orgthen hand you a 90-day AI roadmap your board will sign off on.

  • AI maturity audit
  • Use-case prioritization
  • Build vs. buy analysis
  • Executive workshops
Typical engagement · 2-6 weeks →
Most teams don't lack ideasthey lack a defensible sequence. We score every candidate use case on cost, time-to-value, data-readiness, and reversibility, then translate it into a roadmap your CFO can actually fund. You leave with the artifact, the model, and the org buy-in.
02 / Implementation & Build

Ship production AI, not prototypes.

Our engineers build, deploy, and harden the systems your team will run for yearswith the eval rigs to prove it.

  • GenAI applications
  • Agentic workflows
  • RAG pipelines
  • Evals & guardrails
  • MLOps & deploy
Typical engagement · 6-16 weeks →
We build with the stack you already runAWS, GCP, Azure, on-prem, Anthropic, OpenAI, open-weights. Every system ships with an eval harness, runbooks, and a documented handoff. If your team can't run it on day 91, we didn't do our job.
03 / Talent & Staff Aug

Senior AI engineers, plug-and-play.

Embed vetted AI specialists into your teamfractional, full-time, or for a defined sprint.

  • Fractional CAIO
  • Embedded AI engineers
  • Prompt & eval specialists
  • Architecture reviews
Typical engagement · rolling →
Talent that has shipped this stuff beforenot a bench of generalists. We match on the second call, start within two weeks, and stay on as long as you need. Replace any engineer at any time, no penalty.
02 · How we work

Diagnose. Decide. Deliver. Defend.

A four-step engagement built so you can fire us at the end of any of them and still leave with something usable.

01 / Week 1

Diagnose

One-week paid discovery. Stack, data, and team audit. You leave with a written assessment whether or not we engage further.

→
02 / Week 2

Decide

A scoped roadmap with effort, ROI, and risk per initiative. You own the IP from page one.

→
03 / Weeks 3-10

Deliver

Senior engineers build it. We hand off to your team with documentation, runbooks, and eval harnesses.

→
04 / Days 1-90

Defend

90-day post-launch support. We measure what we promised. If it didn't move, we fix it on us.

→
03 · Proof

Outcomes, not case-study theater.

Three engagements, three measurable outcomes. Names anonymized where NDAs require intros to references available on the second call.

Top-3 US health insurer Implementation AWS · Bedrock · Claude

$8M ARR pipeline created in 90 days.

We replaced a 14-step manual underwriting workflow with an agentic system that drafts, double-checks, and routes for human sign-off. Cycle time dropped 47%. The eval harness we built is now the team's release gate.

Engagement · 11 weeks Read the write-up →
Series C fintech Strategy

Killed a $4M build before it shipped.

The audit showed the proposed RAG system would have boosted CSAT 2 points at 6× the cost of a smaller intent-routing fix. Board approved the cheaper plan in week three.

Engagement · 4 weeks Read · →
Public retail co. Talent

Embedded eng → merch search live in 6 weeks.

Two embedded engineers paired with the platform team. Conversion on AI-ranked results lifted 9.2% on the first A/B. Both engineers are still on the team eight months in.

Engagement · rolling Read · →
04 · Team

The humans you'll actually work with.

We don't do senior-on-the-pitch / junior-on-the-build. The names below are who shows up to your sprint reviews.

RG

Riya Garg

Founder · CEO

Previously led AI product at a Series D fintech. Shipped the second LLM feature in production banking.

linkedin ↗
RG

Rohan Ghosh

Co-founder · CTO

Ex-Anthropic. Built and operated agentic eval infrastructure at $100M+ scale.

linkedin ↗
WS

Wren Saito

Principal AI Architect

PhD CMU, RAG systems for regulated industries. Holds 4 patents in retrieval.

linkedin ↗
WS

Will Stein

Head of Strategy

Ex-McKinsey digital. Now writes 15-page roadmaps instead of 200-page decks.

linkedin ↗
05 · FAQ

Objections, handled.

The seven things buyers ask before booking the call. Pricing is published on purpose vagueness is the #1 killer of consulting inbound.

Not ready to talk?

Get our 1-page overviewwhat we do, how we price, who we are. No drip sequence.

Discovery sprints typically begin within 7-10 days of a signed SOW. Build engagements ramp the week after Decide is approvedusually 2-3 weeks from first call.
$25K for a one-week paid diagnostic with a written assessment. $80K-$250K for build engagements depending on scope. Embedded engineers run $18K-$32K / month. We give a fixed range on the first callno scope-creep games.
Yes to both. We've operated under enterprise MSAs at Fortune 500 health, fintech, and government agencies. Standard mutual NDA in 24h.
You do. Always. Code, prompts, evals, documentationall assigned to the client at delivery. We retain only the right to anonymized case-study reference.
That's the most common ask. Our engineers join your standups, your repo, your Slackunder your engineering manager. Replace any engineer at any time, no penalty.
AWS, GCP, Azure, on-prem. Anthropic, OpenAI, Google, open-weights via vLLM / Ollama. We're stack-agnosticthe right tool is whichever one your team already runs in production.
We ship. Big 4 sell decks; staffing firms supply seats. We do the strategy and the buildand put our fee at risk against the outcomes we promised. Read "How we work" above.
06 · Let's go

Let's build something that ships.

30 minutes. Real engineering questions. A written next-step in your inbox by end of day whether we're the right fit or not.

hello@peoplease.ai
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