Scoped to the outcome. Not a rate card.
AI consulting priced against a fixed deliverable, not an hourly rate. Every engagement is scoped in a 30-minute briefing, then priced fixed against the target we agree in writing. See what automation is worth to you first →
Four bands by company size
Each band is a different engagement shape
Company size and engagement complexity determine which band fits. Click through to see the engagement shape for your size the specific pricing lives inside each lane page, where the context is right.
API integration sprint
1 week · 1-2 specialists
Low four-figure investment
Outcome
Connect your existing application to a managed AI model. Prompt engineering, guardrails, deployment. No custom infrastructure, no ongoing overhead.
Fit for
Owner-led teams and small businesses adding AI to an existing product or workflow, where the goal is a working integration, not a platform.
Managed RAG deployment
3 weeks · 2-3 specialists
Low five-figure investment
Outcome
A grounded AI assistant that answers from your documents. Managed retrieval on Bedrock Knowledge Bases or Azure AI Studio. Internal Q&A or customer-facing support.
Fit for
Midmarket brands and multi-location operators deploying grounded AI on internal knowledge or customer support, where managed infrastructure beats custom models.
Production pipeline sprint
6 weeks · 3-4 specialists
Mid five-figure investment
Outcome
A production AI pipeline in your cloud account: managed model inference, ETL orchestration, vector search, monitoring dashboard. Handoff to your engineering team.
Fit for
Venture-backed founders and product teams needing AI in production, not in a notebook. Fixed scope, delivery guarantee, full IP transfer.
Enterprise AI platform
Multi-quarter · 4-8 specialists
Low-to-mid six-figure investment (per phase)
Outcome
A multi-cloud AI platform: knowledge graphs, GraphRAG, custom fine-tuned models, governed data lake, real-time inference, MLOps automation, and a dedicated senior squad on quarterly cadence.
Fit for
Fortune 500 CDOs, CTOs, and VPs of Data in regulated industries deploying AI across multiple business units, with compliance and security envelopes to respect.
Why scoped pricing beats a rate card
Most AI consulting is priced against time, an hourly rate multiplied by an estimate. That model favours the consultant: overruns become billable hours, discovery drifts into scope, and the buyer carries all the budget risk.
We do the opposite. Every engagement is fixed-scope, fixed-price against a target agreed in writing before the engagement starts. If the pilot misses the target, it's free. If delivery takes longer than planned, that's our cost, not yours.
This works because the four bands above are not price tiers they are engagement shapes. An SME integration sprint is a different product than an Enterprise platform build. Same team, same delivery discipline, different scope of what ships. The investment matches the scope; the scope matches the outcome you need.
What a briefing looks like
- 130-minute call you walk through the outcome you want, the systems it needs to touch, and the compliance envelope it operates in.
- 2Scoped proposal within 48 hours you get a fixed-scope proposal with the deliverable, the target, the timeline, and the total investment.
- 3Guaranteed pilot the target is written into the agreement. Miss it, and the pilot is free. Hit it, and we've earned the roadmap conversation.
How the investment model works
What is the total cost of ownership of an in-house AI team versus a consultancy?
Standing up a senior in-house team is six to nine months of hiring and seven figures in loaded cost before a single release reaches production, and the AI total cost of ownership an enterprise actually carries includes recruitment, retention, infrastructure and those idle months. An embedded senior squad ships the first release in six weeks with no data hires. On in-house AI team versus consultancy TCO the honest answer is the same whether you are weighing a large integrator or the TCO of an in-house AI team versus a boutique consultancy: build internally when AI is your product, and bring in a firm to prove the architecture first, so the team you eventually hire inherits something that already works.
Who owns the IP in an AI consulting contract?
You do, without exception. On AI consulting contract IP ownership our position is that the knowledge graph, the pipelines, the evaluation harness, the prompts and the application code are yours on delivery. We build inside your repository and deploy into your VPC, so there is no platform to license and nothing to migrate off if the engagement ends. There is no shared-IP clause and no derivative-works carve-out, because the alternative is a lock-in your successor has to unwind.
What does an enterprise AI consultant cost? Do you bill hourly?
We do not publish an enterprise AI consultant hourly rate, because billing hours rewards the wrong behaviour on a fixed outcome. Engagements are fixed-scope and fixed-price, sized to the result rather than a rate card. If you are comparing AI consultant versus full-time AI engineer cost, compare total delivered scope and time-to-production, not a day rate: the first commitment here is a six-week pilot with acceptance criteria agreed in writing before week one.
What SLA do you work to, and will you sign a DPA and indemnify AI outputs?
Enterprise AI SLA uptime and latency benchmarks are agreed per deployment and written into the contract, because the system runs in your infrastructure: we commit to the response-time and availability targets your architecture can support, and we instrument them rather than assert them. We sign a data processing addendum for LLM providers in the chain and will route around any provider your counsel will not accept. On indemnification for generative AI outputs, our posture is that grounded, cited, policy-bounded output with a retained audit trail is what makes the exposure insurable in the first place; specific terms are negotiated with your counsel rather than published here.
How much does AI consulting cost?
AI consulting is scoped, not listed. Real cost depends on the outcome you need, the systems it touches, and the compliance envelope it operates in. A one-week API integration is a different engagement than a multi-quarter enterprise platform build. We scope each engagement against a defined deliverable in a 30-minute briefing, then price it fixed against that scope, not against an hourly rate. Every band on this page links to a solution page where you can see the specific engagement shape for your company size.
Why don't you publish specific prices?
Because scoped consulting priced against outcome is not comparable to a rate card. A $10k engagement for a small business is a different product than a $10k engagement for a Fortune 500 CDO, the same dollar amount buys different scope in each context. Publishing a specific price signals the wrong thing to both ends of the market: too high for the small business, too low for the enterprise buyer whose procurement team will want the same rate applied to a much larger scope. Scoped pricing keeps every engagement matched to the value it actually delivers.
How do you know which band fits my company?
Company size and engagement complexity are the two axes. A 500+ employee organisation with regulated data and multiple business units is Enterprise. A 50-500 employee scaleup deploying AI in production is Scaleup. A 10-50 employee midmarket brand doing managed RAG is Midmarket. A 1-10 employee owner-led team adding AI to an existing product is SME. In the briefing we confirm which band fits by walking through the outcome you want and the systems it needs to touch.
Do you charge hourly or fixed price?
Fixed price. Every engagement is scoped against a defined deliverable, not time-and-materials. This means you know the total investment before the engagement starts, and we absorb the cost of any overrun on our side. The trade-off is a slightly higher headline price than an hourly consultant, in exchange for zero budget risk and a delivery guarantee.
Is there a delivery guarantee?
Yes. Every engagement carries our Guaranteed Pilot: we hit the target agreed in writing before the engagement starts (typically 90% hallucination reduction or a specific measurable outcome), or the pilot is free. The target is defined against your workflow, not our template, so the guarantee is meaningful.
Ready to scope your engagement?
30-minute briefing. A senior engineer scopes the work.
No sales team, no pitch deck. Scoped proposal within 48 hours, delivery guarantee written in.