Agentic AI

AI Case Study

Agentic AI · Case study

Mastering enterprise complexity, faster and more precisely

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See the delivery model

A public, multi-national franchisor brought MHI one of the most complex finance landscapes in its industry. By pairing senior consultants with AI agents that capture and connect everything from discovery, MHI turned weeks of sessions and hundreds of client documents into a validated design.

Legal entities in 5 countries, under a securitized financing structure

3000

Franchise and company-owned locations reporting into the GL

Business process areas, from franchising to multi-book accounting

Integration flows across POS, billing, CRM, HR, banking and planning

The complexity

One of the most complex finance landscapes in its industry

Around thirty legal entities across five countries sit under a securitized financing structure. More than three thousand franchise and company-owned locations report into the general ledger. Fifteen or more business process areas, from franchising to multi-book accounting, have to hold together, and more than forty integration flows connect POS, billing, CRM, HR, banking and planning.

Prototyping became cheap enough to show finance leadership a working NetSuite design before any build began.

The approach

How agentic delivery changed the work

Capture everything

Every discovery session, client document and data sample feeds a unified, AI-friendly project context. Nothing is lost between meetings or consultants.

Connect the dots

AI agents cross-reference requirements, source data and decisions across every process area, catching conflicts and gaps that manual review misses.

Prototype early

With the knowledge already captured, agents configure the design in NetSuite in hours, so the client can see it working before committing to it.

Discovery, fully captured

Weeks of sessions, connected across every process area

Senior consultants directed the work while agents absorbed the detail, so nothing fell between meetings and no process area was reviewed in isolation.

80+

Working sessions in discovery

2 months

Discovery period

Sign-off, rethought

What the client approves, and when

The same milestone, reached in a different way.

Milestone

Agentic delivery

The traditional way

Time to a working system

Hours

Weeks

What the client signs

A design it has tested with its own data

A long, abstract requirements document

First look at the system

A proof of concept in a demo account, configured by AI agents

Walkthroughs or UAT

When changes happen

Before build, when they cost the least

Late, as surprises that mean costly rework and lost time

The result

A clearer design, approved with eyes open

Weeks of discovery, fully captured

80+ working sessions across a two-month discovery, connected across every process area by AI agents.

A prototype before the work

The core entity and reporting design ran in a demo account, tested against real transactions.

Informed sign-off

Finance leadership approved the foundational design knowing what it would look like in NetSuite.

Why it matters

Complex no longer has to mean slow

Complex businesses no longer have to mean slow implementations or sign-offs based on hope. MHI senior consultants direct the work while AI agents absorb the detail, so clients get a clearer design sooner, see it working before they approve it, and avoid costly surprises later.

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