AI Consulting Pricing

Priced for production.
Not presentations.

Every engagement is scoped around the workflow, risk, integrations, and operating support required to move AI into the business.

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Investment

Choose the path that matches your operating ambition.

These are planning ranges for enterprise AI work. Final scope depends on workflow complexity, integration depth, governance requirements, security posture, and the support needed after launch.

Fixed-scope advisory

Executive AI Diagnostic

$15K-$25K
2-4 weeks

A focused engagement to identify where AI can create measurable operating leverage, what should be governed first, and what it will take to move from idea to production.

Best forLeadership teams that need a board-ready value map before committing to build.
  • Executive alignment workshop
  • Workflow and data readiness review
  • Prioritized AI opportunity map
  • Governance and risk brief
  • Recommended production path
Discuss scope →
Most selected
First governed workflow

Production Deployment

$75K-$250K+
8-14 weeks

We design, build, integrate, test, and launch the first governed AI workflow against real business data with ownership, approvals, measurement, and operating handoff.

Best forTeams ready to move one high-value workflow from strategy into production operation.
  • Agent and workflow architecture
  • System integrations and data flow design
  • Approval, audit, and human-in-loop layer
  • Model routing and evaluation suite
  • Launch, reporting, and operating handoff
Discuss scope →
Multi-workflow transformation

Enterprise AI Program

$500K+
Custom program

A strategic implementation program for multiple workflows, governed expansion, executive reporting, security review, operating model design, and long-term capability transfer.

Best forOrganizations building a durable AI operating capability across teams or business units.
  • Enterprise AI operating model
  • Multiple workflow deployments
  • Security, governance, and change management
  • Executive reporting cadence
  • Expansion roadmap and capability transfer
Discuss scope →
Managed Enterprise AI OperationsOngoing optimization, monitoring, model updates, support, executive reporting, and workflow expansion after launch.
$10K-$25K+/month

Buying guidance

How leadership teams should choose.

The strongest enterprise AI programs do not start with every workflow. They start with the right first decision.

Need clarity

Start with the Diagnostic

Use this when leadership agrees AI matters, but the first workflow, risk profile, budget, and operating owner are not yet defined.

Need a launch

Move to Production Deployment

Use this when a workflow has an owner, measurable value, data access, and enough urgency to justify a governed system build.

Need scale

Stand up an Enterprise Program

Use this when AI is becoming an operating capability across multiple teams, systems, regions, or business units.

What changes price

Scope is driven by the work behind the workflow.

Two AI initiatives can sound similar and price very differently. The real effort lives in system access, data quality, risk, review cycles, and the operating model required to keep the workflow trustworthy after launch.

Scopepriced around risk and value
Workflow complexity
Integration depth
Data and security readiness
Approval and audit requirements
Model routing needs
Operating support after launch

Included in every engagement

The deliverable is a system your team can operate.

Archon combines senior advisory, implementation, governance, and operating design so the engagement produces more than a recommendation.

Executive ownership model

Decision rights, business owner, success metrics, review cadence, and expansion gates.

Production architecture

Agent behavior, tools, retrieval, approvals, exceptions, integrations, and measurement design.

Governance by default

Access control, auditability, model policy, human review, evals, and security-ready documentation.

Implementation artifacts

Value map, workflow architecture, governance model, launch plan, scorecard, and roadmap.

Commercial path

A clean path from first call to production scope.

High-ticket AI consulting should feel precise. We make the buying process clear before your team commits to implementation.

Discovery

Qualify the workflow

We confirm the business problem, systems involved, operating owner, data boundaries, and expected value.

Architecture

Scope the engagement

We size the build around integrations, governance, model policy, testing, reporting, and the support model.

Production

Launch and operate

We ship the system, measure performance, improve the workflow, and define what should expand next.

Enterprise questions

What teams ask before they commit.

Why are these planning ranges instead of fixed checkout prices?+
Enterprise AI work changes based on workflow complexity, data readiness, security requirements, integrations, governance needs, and how much operating support is required after launch. We use planning ranges so leadership can budget before we scope the exact engagement.
Can we start with the Diagnostic and apply it toward a deployment?+
Yes. The Diagnostic is designed to create the value map, risk view, and implementation path for a production engagement. If the next step is clear, it becomes the foundation for the build.
What is the difference between Production Deployment and Workforce?+
AI Consulting is for custom strategy, architecture, governance, and non-standard implementation work. Archon Workforce is a managed AI workforce service for ongoing execution against defined business functions.
Do you work with our existing tools and models?+
Yes. We are model agnostic and environment flexible. We can work across Microsoft, OpenAI, Anthropic, Gemini, private models, cloud, VPC, on-prem, SaaS tools, and internal systems where access is approved.
How do you control ongoing cost after launch?+
We define usage controls, model routing rules, approval thresholds, monitoring, evaluation cadence, and operating support before launch. Managed operations can be scoped monthly so costs are visible and controlled.
What should we bring to the first call?+
Bring one high-value workflow, the team that owns it, the systems involved, current pain points, security constraints, and the business result you want to improve.
How long does a typical engagement take?+
The Executive AI Diagnostic is a fixed, multi-week engagement that produces the value map, risk view, and implementation path. Production deployments then run in phases, with a first governed workflow live in weeks rather than quarters, so leadership sees working output early instead of waiting on a long program.
How do you measure ROI on AI consulting?+
We tie every engagement to a measurable operating result: hours reclaimed, cycle time, error rate, or revenue-adjacent throughput on the target workflow. Monitoring and evaluations make the impact visible after launch, so the investment is justified on outcomes, not activity.
Can we phase the investment?+
Yes. Most clients start with the fixed-scope Diagnostic, then move into a production deployment, then optional managed operations. Each phase has a defined scope and price agreed before work begins, so you can budget and approve the program in controlled steps.
What are the payment terms?+
The Diagnostic is a fixed fee scoped before kickoff. Production deployments are milestone-based against an agreed statement of work, and ongoing managed operations can be billed monthly. We confirm exact terms in the engagement agreement before any work starts.

Book an executive consultation

Bring the operating problem. We'll price the path.

A few quick steps. Tell us about the workflow, the systems involved, and the outcome you want. We'll come prepared with a point of view.

Start with one high-value workflow

Bring the operating problem. We will price the path to production.

Tell us the workflow, the systems involved, and the business result you want to improve. We will recommend the right engagement and the right first deployment.

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