A clear breakdown of what Brainforge fixes, how fast, and what it actually delivers.
Scoped discovery sprint
A bounded engagement that maps your AI pressure to scored use cases and a plan leadership can fund. Typically 4 weeks.
What AI consulting really costs (and what drives it)
Most AI consulting quotes are a black box. Brainforge prices per outcome, not per hour: you approve a fixed scope, pay for a bounded result, and never sit on an open-ended retainer. This page explains the model and what moves the number.
In plain terms
What AI Consulting Cost means in practice
Where teams get stuck
Engagement-based AI consulting pricing — what drives cost, typical timelines, and how to budget your first production build.
Every AI consulting quote feels like a black box and we can't compare them.
Leadership wants a number before approving any AI work.
We've been burned by open-ended retainers that never produce a working system.
We need to budget the first AI build without knowing what it should cost.
What we deliver
Core AI Consulting Cost
Production first build
One measurable workflow shipped to production with evals, guardrails, and a clear owner. Typically 6–12 weeks from discovery.
Governance and operations
Evaluation, monitoring, and human-in-the-loop controls that keep the system reliable after launch.
How deep it goes
Capabilities behind the work
The same delivery primitives (context, controls, and review) show up across every engagement.
Scoping
Defining the bounded outcome, deliverables, and success metric before you commit.
Use-case scoringSuccess metricsFixed-scope definition
Build
Production agents, workflows, and RAG foundations grounded in governed data.
Agent developmentWorkflow automationContext engineering
Governance
Evaluation criteria, guardrails, and observability so output is defensible.
Evaluation frameworksGuardrails and permissionsObservability
How pricing works
The engagement model behind every quote
2-week sprint
A fast, low-risk way to pressure-test the opportunity. Bounded scope, one clear question answered, and a recommendation for what to fund next.
4-week discovery sprint
Current-state mapping, use-case scoring, and a 30-60-90 plan leadership can approve. The most common starting point.
Discovery plus first build
The discovery sprint plus one production workflow, typically 6–12 weeks to a working system with metrics leadership trusts.
Bounded support or augmentation
Teams that want Brainforge practitioners embedded on an ongoing basis. Scope is still bounded per workstream, never an open checkbook.
What changes
Outcomes you can point to
- A clear picture of what your AI work will cost and why.
- A fixed-scope engagement you approve before we start.
- A first production system, not another deck.
- No open-ended retainer — you pay for a bounded outcome.
Proof in production
See where this work shows up.
How we saved a retailer hundreds of thousands
A governed analytics build that replaced guesswork with trusted numbers — the kind of outcome fixed-scope work is designed to produce.
Read the outcome case study →From Pendo sprawl to a governed activation plan
How we replaced ungoverned tool sprawl with a governed, AI-ready activation plan across a client stack.
Read the governance case study →Related ways to engage
A clear front door into this work
Common questions
AI Consulting Cost, straight answers
How much does AI consulting cost?
It depends on scope, not hours. Brainforge prices engagements as bounded outcomes: a 2-week sprint to pressure-test an opportunity, a 4-week discovery sprint for a fundable 30-60-90 plan, or a discovery-plus-build that ships a production workflow in 6–12 weeks. You approve the fixed scope before we start, so the quote is predictable.
Why don't you publish a price list?
Because scope drives cost more than anything else — the number of workflows, the state of your data, the integrations required, and whether you need regulated deployment. We give you a fixed price for a fixed scope instead of a menu that misleads.
What drives the cost of an AI engagement?
The biggest drivers are scope (which workflows you automate), data readiness (how governed your context is), integration depth, and the operating model you need. That's why we scope first and price second.
How long until we see production AI?
A first production workflow typically ships in 6–12 weeks from a discovery sprint — a working system with metrics your leadership trusts, not another demo.
Is there a retainer requirement?
No. You pay for a bounded outcome, not a retainer. Most teams start with the discovery sprint and fund the first build from the roadmap it produces. Ongoing support is optional and separately scoped.
How we work
A path from pressure to a working system
01
Scope it
We define the bounded outcome, the deliverables, and the success metric before you commit to anything.
02
Approve it
You see the fixed scope and price before we start. No surprise overruns, no hourly meter.
03
Ship it
We build the first production system, hand over ownership, and leave an operating model behind.
Our Trusted Partners
We only bring the best of the best
READY TO PUT
AI Consulting Cost to work?
AI Consulting Cost to work?
In one working session we'll name what's broken, what's possible, and the first system worth building.
