An AI implementation consultant turns an AI idea into a working part of daily operations. Kamyar Shah documents the workflow first, builds the AI inside the client's own accounts, and ties each build to a scorecard KPI. The work fits founder-led companies of roughly 20 to 200 people that want results instead of another pilot.
Book the Free Ops Call →AI implementation services take a company from an idea to a working system that the team runs every week. The engagement covers workflow documentation, readiness scoring, use case selection, the build itself, and the operating rhythm that keeps it working. Kamyar Shah limits the practice to no more than seven clients at any given time, and every active engagement counts toward that seven.
Reviewed and current as of October 19, 2026.
Engagements are structured to address the specific challenges of your organization. Scope is defined collaboratively at the outset and adjusted as priorities evolve.
MIT NANDA reported in July 2025 that 95% of organizations were "getting zero return" on generative AI. The study combined a review of more than 300 public initiatives with interviews and a survey of senior leaders. Its authors placed the problem outside the model, in tools that do not learn, integrate poorly, or fail to match workflows. That is the bottleneck this work targets, the gap between a promising pilot and the way work actually runs.
Gartner predicted in July 2024 that at least 30% of generative AI projects would be abandoned after proof of concept by the end of 2025. Its stated reasons were poor data quality, inadequate risk controls, escalating costs, and unclear business value. Each reason has an operating component, including ownership, decision rights, workflow design, and measurement.
The common anti-pattern is buying a tool first and searching for a use second. If nobody owns the result, adoption can fade once the novelty passes, and the leadership attention spent on the project can cost more than the license fee. Owners comparing providers can use the guide on how to hire an AI consultant for small business. Leaders still deciding which problems AI should address first can start with AI strategy consulting.
These are the firm's own systems and public tools, not client case studies, and they show build discipline rather than client returns. In September 2026 the firm's systems made 50,447 recorded model calls for about $218. Most came from a single research batch, so the figure reflects capacity rather than a typical month. In an internal test, a verified-research agent answered 10 of 10 fixed questions without a detected factual error, at roughly two to four cents each. The guide on how to build an AI chief of staff explains the architecture behind these systems.
Three public builds are live today. The vwcg.app assessment scores a business across 10 strategic dimensions, including AI readiness, and processes results in the browser. On businessconsultant.services, a free diagnostic writes an operational brief with an AI service, and its published policy states that it stores no entries or results. An employee turnover cost calculator, live since October 9, 2026, uses federal BLS JOLTS data and runs entirely in the browser.
The engagement starts with an AI Operations Audit that costs $7,500 and runs two to three weeks. It maps the top workflows, applies the theory of constraints to find the real bottleneck, and ranks three use cases by hours and cost. The fee is credited in full against the install when the install is signed within 60 days of audit delivery. When the audit finds fewer than three viable use cases, the fee is refunded in full under the terms of the signed agreement.
The AI Operations Install starts at $25,000 and runs eight to ten weeks for the first one or two workflows. Before any build, the client approves data restrictions, account access, and every vendor involved. A RACI chart names who owns each automated step, and a balanced scorecard places each KPI beside the measures the team already reviews. If no one owns an automated step, errors can go unresolved and trust in the system can fade.
$7,500, two to three weeks. A workflow map, an AI readiness score, three ranked use cases with baseline KPIs, and a 90-day build order. Credited in full against the install within 60 days of delivery, and refunded when fewer than three viable use cases exist.
Start With the Audit →From $25,000, eight to ten weeks. The first one or two workflows documented, built in the client's own accounts, and tied to a scorecard KPI. The agreement includes an exit point after the second session, with fees due only for work delivered to that point.
Plan the Install →From $5,000 a month, three-month minimum. Maintenance of the systems named in the statement of work as models and tools change, improvements specified in the agreement, and a quarterly review of results against each KPI.
Keep It Working →The AI Operations Audit costs $7,500 and runs two to three weeks. The install starts at $25,000 and runs eight to ten weeks. Monthly support starts at $5,000 a month with a three-month minimum term.
The audit and the first install together usually require 10 to 13 weeks of active work. The calendar span depends on how quickly the client signs the install after the audit.
When the audit finds fewer than three viable use cases, the full fee is refunded. The signed engagement agreement defines a viable use case, the evidence required, and the timing of the refund.
An AI automation consultant usually builds a tool that connects two systems and saves clicks. An AI implementation consultant changes how the work runs, then applies AI where the redesigned process needs it. The difference shows up months later, when someone has to own the automation, measure it, and repair it.
Accounts stay under client control from the first day, and client-specific deliverables belong to the client under the signed agreement. Tool costs are paid directly by the client, with no markup and no consultant-owned platform in the middle.
The work fits founder-led companies of roughly 20 to 200 people with real demand for AI. For teams under 20 people, the Free Ops Call may point to a tool-only approach instead of a full install.
Cite this page: Kamyar Shah, "AI Implementation Consultant," kamyarshah.com, https://kamyarshah.com/ai-as-service/
The Free Ops Call is a 25-minute conversation about one workflow and whether it is ready for AI. Leaders who prefer a measured starting point can request an invite code for the vwcg.app readiness assessment instead.
Book the Free Ops Call →Bringing Consulting to You: Where Strategy Meets Execution Kamyar Shah