AI INTEGRATION AND CONSULTING

AI integration services, for the systems you already run.

Put AI into your ERP, CRM, support desk, and the workflows between them, without ripping anything out. A senior engineer assesses where AI pays off, plans the roadmap, then integrates and implements it. The Readiness Assessment is the fixed-fee entry point; every step after it is scoped from what the assessment found.

AI integration at a glance

ENTRY POINT
Fixed-fee assessment
STEPS
Assess, plan, integrate, implement
YOU KEEP
Every deliverable
  • Opportunity map with ROI projections
  • Integration architecture
  • Production integration

Trusted by great companies.

  • Notary.io
  • ElephantCPA
  • Docbraces
  • Groundlight
  • Plannerd
  • GloFlow
  • Asana Rebel
HOW IT WORKS

Assess, plan, integrate, implement.

Four steps, each with a written output, each one optional after the first. You can stop after the assessment and keep the plan.

  1. 01

    Assess

    A senior engineer spends two to three weeks in your workflows and systems and delivers a ranked opportunity map with ROI projections and build-vs-buy-vs-wait calls. This is the AI Readiness Assessment, a fixed fee scoped on the intro call.

  2. 02

    Plan the roadmap

    The opportunities that survive the ROI test become a sequenced implementation plan: what to build, what to buy, what to wait on, in what order, with the integration points, data needs, and risks named for each.

  3. 03

    Integrate

    We connect the AI layer to the systems it has to read from and write to: your ERP, CRM, ticketing, document stores, and the APIs between them. LLM integration, retrieval over your data, and evaluation harnesses so outputs can be trusted before anyone relies on them.

  4. 04

    Implement and run

    The integration ships to production with monitoring, cost controls, and a handover to your team, or to a Leanware managed agent or dedicated team if you want us to run it. Every step bills against a milestone you can test.

WHAT YOU GET

Three written deliverables, one per stage.

Each stage ends in something you can hand to your team or to another vendor. Nothing here depends on continuing with us.

Opportunity map with ROI projections

Three to five ranked AI opportunities grounded in your volumes and costs, each with the assumptions behind its projection and a build-vs-buy-vs-wait recommendation.

Integration architecture

Which systems the AI touches, how data moves, which model and provider, what stays inside your perimeter, and what the evaluation and rollback plan is, written before code is committed.

Production integration

The working integration in your systems, with monitoring, evaluation reports, and documentation your team can operate from.

START HERE

The AI Readiness Assessment is the first step.

Every engagement on this line starts with the assessment. It is paid, fixed-fee, and yours to keep, and its recommendation can be to buy a platform, to wait, or to build. The integration and implementation work that follows is scoped from what it found.

AI Readiness Assessment

An AI readiness assessment run ROI-first: a senior engineer works with your team for two to three weeks, audits the workflows in scope, and delivers a ranked opportunity map with build-vs-buy-vs-wait recommendations. A fixed fee, scoped on the intro call. You keep the plan whether you continue with us or not.

DURATION
2 to 3 weeks
PRICE
Fixed fee, set on the intro call
YOU KEEP
The written plan
AI STRATEGY CONSULTING

Strategy, from the engineers who will build it.

AI strategy consulting here is the roadmap work that follows an assessment: prioritized use cases, build-versus-buy calls, sequencing, budget shape, and the data and governance groundwork each one needs. It is run by the senior engineer who would implement the plan, priced as fixed-fee work rather than an open-ended retainer, and it ends in a written plan, not a slide deck. If what you need is ongoing advisory capacity, we will say so on the intro call.

IS THIS YOU

Four situations that bring people to this line.

The common thread is a business that already runs on real systems and wants AI inside them, not next to them.

  • Your board asked for an AI plan and you need a real answer.

    You run an established business, your leadership wants to know where AI fits, and you would rather have an engineer's read than a vendor's pitch.

  • A platform pilot worked in the demo and stalled in production.

    A SaaS AI feature or a no-code agent handled the easy cases and broke on the real ones, usually where it had to touch a second system.

  • Your data lives in five systems and AI needs all of them.

    ERP, CRM, ticketing, spreadsheets, a document store. The value is in the workflow between them, and no single tool sees the whole thing.

  • You were quoted a strategy engagement priced like a merger.

    You want the plan, not eight weeks of associates and a partner readout. You want to know what to build, what to buy, and what to leave alone.

WHAT THIS IS NOT

Not a deck. Not a free audit. Not a reseller.

Not a strategy deck.

Every engagement ends in a written, sequenced plan with owners and integration points, produced by the engineer who could build it.

Not a free audit that sells a build.

The Readiness Assessment is paid, fixed-fee, and yours to keep. Its recommendation can be to buy a platform, or to wait.

Not a tool reseller.

We are vendor-neutral on models and platforms. The recommendation follows your data, your systems, and the ROI math, not a partner margin.

Not a rip-and-replace.

The integration wraps the systems you already run. If a workflow genuinely needs a new system, the plan says so, and why.

CLIENT VOICE

From clients who started with an assessment.

AI Grading Backend for Dental Education Tool

I presented this to my clinic and the response was strong. Leanware did excellent work, and we're going to use feedback from real evaluations to keep refining the AI agent, improving grading accuracy organically as it sees more cases.

EM

Evan Menke

University of Colorado

United States

Custom Software Dev for Cloud-based Solutions Provider

Leanware is transparent, and they’re very honest with the work that they do.

CM

Christopher Massood

Co-Founder & CEO, Elephant CPA

Wayne, New Jersey Clutch verified

FAQ

Questions we hear on the intro call.

Answered plainly so you can decide whether the assessment is the right first step before you book the call.

  • What are AI integration services?
    The work of connecting AI models to the systems and workflows a business already runs, so they can read from and write to real data: your CRM, ERP, support desk, documents, and the APIs between them. It covers model and provider selection, retrieval over your data, evaluation so outputs can be trusted, deployment, and monitoring. At Leanware the same senior engineer assesses, integrates, and implements.
  • How is AI integration different from AI implementation services?
    Integration is the connecting work: getting a model to operate inside your existing systems and data. Implementation is the broader rollout: the integration plus the process changes, training, monitoring, and ownership that make it stick. Our engagements cover both; the roadmap says where one ends and the other begins for your case.
  • What does AI integration consulting cost?
    The Readiness Assessment is a fixed fee, scoped on the intro call by company size and the number of workflows in scope, and billed at signing. Integration and implementation work is scoped from the assessment and billed against milestones you can test, so you see the full cost of each step before it starts. We do not publish a rate card because the range depends on how many systems the AI has to touch; the assessment exists to answer that before you commit to a build.
  • Can you integrate AI into our existing application without a rebuild?
    In most cases, yes. The integration wraps the systems you have: an API layer, retrieval over your data, and an evaluation harness in front of the model. Where a system genuinely blocks the work, the roadmap says so and quantifies the change.
  • Do you do LLM integration, or only your own agents?
    Both. LLM integration into your product or internal tools is a core part of this line: provider and model selection, prompt and retrieval design, evaluation, cost controls, and fallbacks. Custom AI agents are one shape the integration can take when a whole workflow should run on its own; they are a separate line with a managed-service price.
  • Is this AI strategy consulting?
    It covers the same ground: where AI pays off, what to build, what to buy, what to wait on. The shape is different. The person running it is a senior engineer who could build the recommendation, the work is fixed-fee over weeks rather than an open-ended retainer, and it ends in a written plan. If you need ongoing advisory capacity, we will say so.
  • How long does an AI integration take?
    The assessment runs two to three weeks. A first production integration typically follows in milestones of a few weeks each, sized to the number of systems involved; the roadmap sets the sequence and each milestone is priced before it starts. We do not quote a total before the assessment because that number is what the assessment produces.
  • What do we need to have ready before starting?
    Access to the people who run the workflows in scope and read access to the systems they use. You do not need a data warehouse, a labeled dataset, or an AI team. Part of the assessment is establishing what your data actually supports.
TRACK RECORD
READY TO TALK

Start with the assessment. Decide the rest with the plan in hand.

A 30-minute discovery call with a senior engineer. We walk through the systems you run and where AI might pay off, and leave you with a concrete next step, whether that is an assessment or nothing yet.

Tell us which systems you run and where you think AI might pay off. A senior engineer will review it and come back with a concrete next step, whether that is an assessment or nothing yet.