Pricing

AI Discovery Sprint
Fixed-scope engagement
Validate the right AI use case
with an executive-ready delivery plan
$15,000 fixed
Best forVP Engineering & Digital
01
De-risk investment before committing a full build.
Executive stakeholder workshop
Use-case and workflow mapping
Data and integration assessment
Model and architecture options
Security and governance risks
Clickable product prototype
Evaluation and success criteria
Roadmap, budget, and build plan
Production Pilot
Milestone-based delivery
Ship a secure, working AI product
in weeks, not quarters
$45,000 starting
Best forValidated enterprise use cases
02
Prove value with real users, data, and systems.
Product strategy and UX
AI and full-stack engineering
Private-data RAG or agents
Core enterprise integrations
Role-based access controls
Quality and safety evaluation
Production deployment
Documentation and launch support
Enterprise Product Build
Scoped to your stack
Launch and integrate production SaaS
with governance, observability, and handoff
$95,000 starting
Product discovery and service design
Enterprise UX and design system
Custom agents and copilots
RAG over approved private data
Workflow and human-in-the-loop automation
Cloud and identity integration
Admin, analytics, and audit logs
Model routing and cost controls
Security architecture and threat review
Automated quality evaluations
Observability and incident runbooks
Production infrastructure
Team enablement and documentation
Post-launch optimization

The enterprise AI stack we build on

OpenAIAnthropicGoogle GeminiMicrosoft AzureAWSVercelPostgreSQLNext.js

Model-agnostic by design. We select infrastructure around your security, data residency, latency, and cost requirements.

Map the right stack for your initiative

CleverAI vs. traditional AI delivery

CleverAI
One cross-functional product team
Conventional AI delivery
Work split across multiple vendors

Senior team from day oneProduct, UX, AI, and full-stack engineering move together without a months-long hiring cycle.
One accountable partnerOne delivery lead owns scope, decisions, risk, and outcomes from discovery through launch.
Built for enterprise realitySecurity reviews, existing systems, stakeholder alignment, and production handoff are part of the work.
Discuss your roadmap

Enterprise rigor, built into delivery

01
We define data boundaries, identity, permissions, retention, and threat scenarios before an AI feature reaches production.
Security by designArchitecture, access, and auditability
02
Model quality is measured against real tasks, approved sources, edge cases, latency, and cost—not a polished one-off demo.
Evaluation before scaleQuality, safety, and unit economics
03
Weekly working sessions give product, engineering, security, and executive stakeholders the same view of progress and risk.
Visible deliveryDecisions, demos, and risks each week
04
We build into your cloud, identity, data, and operating model so the product can survive procurement and work in the real environment.
Enterprise integrationYour stack, controls, and workflows
05
Your team receives source code, architecture decisions, documentation, runbooks, and enablement—not a black-box dependency.
Durable handoffSoftware and knowledge that become yours
Review your requirements

Frequently Asked Questions

Have another question? Email hello@cleverai.ai
Have a high-value AI initiative stuck on the roadmap?Bring us the use case, constraints, and systems. We will help you find the fastest responsible path to production.

We design and ship custom AI agents and copilots, RAG and knowledge systems on private data, workflow automation, complete SaaS products, and AI features inside existing enterprise applications.

Discuss your questions