AI Consulting Services That End in Working Software

Most AI consulting stops at a slide deck. Ours starts with an automation audit of how your team actually works, ranks every opportunity by return and risk, and then builds the highest-value automations with the same team that designed the plan.

AI consultant mapping business processes on a whiteboard with company leaders
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Driving Success with Technological Expertise

Why Choose Lean Discovery Group?

We are a software development firm first, not a prompt shop. Every automation starts with mapping how the work actually gets done today, gets built on production-grade infrastructure, and ships with monitoring, documentation, and a team that maintains it. You own the code, the workflows, and the data, and we never take your IP.

What Do AI Consultants Do?

AI consultants help a business decide where AI will pay off, which tools and models to use, and how to roll it out safely. Good AI consulting is specific: it names the workflows, estimates hours saved, flags data and compliance risks, and gives you a realistic build plan and budget.

Our AI Consulting Services

Every engagement is built around one question: which AI investments will measurably save time or grow revenue in the next two quarters?

Automation Audit

We interview your team, map the workflows that consume the most hours, and estimate the time and cost each automation would save.

AI Roadmap

A prioritized plan that ranks opportunities by return, effort, and risk, with recommended tools, models, and a realistic budget for each.

Build vs Buy Guidance

We compare off-the-shelf AI tools against custom builds for your use case, so you do not pay for custom software you do not need.

Data and Risk Review

We identify where sensitive data flows, what vendor terms you need, and where human review is required, especially in regulated industries.

Pilot Implementation

Instead of handing off the plan, we build the first high-value automation so you see results and your team learns how it works.

Team Enablement

Practical training so your team can use, monitor, and improve the AI systems we deliver without depending on us for every change.

How an AI Consulting Engagement Works

  1. Discovery call. We learn your goals, team size, current tools, and where work piles up.
  2. Workflow mapping. We document the processes worth examining and gather real examples and volumes.
  3. Opportunity scoring. Each opportunity gets an estimate of hours saved, build cost, risk, and time to value.
  4. Roadmap and recommendation. You get a clear plan with the first project scoped and priced.
  5. Build the first win. If you choose, we implement the top opportunity as a pilot and measure the results.

Why Hire a Software Firm for AI Consulting?

Strategy firms can tell you AI matters. We can tell you exactly what it takes to ship, because we build the systems ourselves. Lean Discovery Group has designed and developed software for insurance, healthcare, fintech, and SaaS companies, and our recommendations come from what works in production, not what demos well.

Who Our AI Consulting Is For

Our AI consulting services fit growing companies, typically with teams large enough that repetitive work is costing real money, that want a partner to both plan and build. If you already know exactly what you want built, skip ahead to AI agent development or custom AI development.

Related Services

Consulting is the front door to our AI automation services, including AI workflow automation and AI chatbot development.

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FAQs

How much do AI consulting services cost?

Our initial automation audit is free. Implementation projects are scoped and priced from the audit, and custom projects start at $10,000.

What is an AI automation audit?

An automation audit is a structured review of your team's workflows to find where AI can save the most time or money. You get a ranked list of opportunities with estimated hours saved, build cost, and risk.

Do you only give advice, or do you build too?

We do both. Most clients hire us to build the first automation from the roadmap, and many continue with us for ongoing development and maintenance.

Do we need clean data before starting with AI?

Not usually. Many high-value automations work with the emails, documents, and records you already have. The audit identifies where data quality actually blocks progress.

Which AI tools do you recommend?

It depends on the job. We are not tied to one vendor and recommend models and platforms based on accuracy, cost, security terms, and what your team already uses.