Maine Street Partners

Strategic AI Implementation · Execution Focus

Technical AI

Due Diligence

Assess the true technical defensibility and operational AI readiness of your acquisition targets.

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Deployed on the tools your team already uses

Microsoft
OpenAI
Google
Stripe
Notion
Vercel
Salesforce
HubSpot
Microsoft
OpenAI
Google
Stripe
Notion
Vercel
Salesforce
HubSpot
Current Reality vs Our Implementation
[ MSP.02 ]

The gap between strategy

and execution.

We identify the exact friction points and architect the infrastructure to remove them.

Current Friction

01

Can't tell if a target's AI is a wrapper or real IP

02

Hidden technical debt in AI implementations

03

Unclear post-acquisition AI operating leverage

Production Outcome

04

Deep architectural reviews of AI systems

05

Identification of credible automation opportunities

06

Clear assessment of technical team capabilities

Advice without delivery is a liability. We do both.

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Operating Levers

01

Map the highest-friction workflow before build

02

Ship the first production workflow with human checkpoints

03

Track adoption, risk, and next moves after launch

Technology Stack

How We Compare vs.
Standard Tools.

Technical Code Audits

We conduct hands-on reviews of the target's GitHub repositories, cloud infrastructure, and data lakes.

LLM Benchmarking

We run empirical tests on the target's proprietary models to verify their accuracy and latency claims against industry standards.

Common Objections

Clear Answers for
Serious Operators.

We review the codebase, data pipelines, model hosting infrastructure, fine-tuning processes, and team competency. We separate true defensible IP from thin wrappers around OpenAI.

[ Engagement Architecture ]

How we take you from strategy to execution.

01

Opportunity Diagnostic

A focused review of your operating context, data infrastructure, and highest-friction workflows. No pitch.

02

Architecture Route

If the opportunity is real, we route it into a Sprint, Cornerstone, Workshop, or Partnership with the right scope.

03

Production Build

When build work is warranted, we deploy the system, train the operators, and stay until the workflow runs reliably.

Selected Engagements
[ MSP.05 ]

Work that

ran.

Anonymised at client request.
Outcomes are verified.

01Legal

Intake Automation for a 40-Person Firm

Advisory → Implementation

14 hrs reclaimed per fee earner weekly. Zero change to client experience.

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02Consulting

AI Ops Layer for a B2B Agency

Implementation

Proposal generation, CRM hygiene, and reporting — fully automated in one engagement.

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03Finance

Client Onboarding Rebuilt End-to-End

Advisory → Implementation

Onboarding time cut from 11 days to 3. Compliance maintained throughout.

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04B2B Technology

AI Capability Deployed Across 11 Departments

Enablement → Advisory Partnership

11 working quick wins shipped and in production. Within 30 days, 7 teams independently deployed a second. 3 departments now run internal AI sessions without us. The relationship is continuing.

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05Energy

AI Workshop for iChoosr's Cross-Functional AI Leads

Workshop → Enablement

11 AI leads mapped real bottlenecks, learned the 4S Framework, and left with working or wired workflow automations on their existing stack.

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[ Next Steps for Execution Focus ]

Ready to architect AI for
AI Due Diligence?

We don't pitch. We diagnose. Start with the route that matches your situation: Diagnostic, Sprint, Cornerstone, Workshop, or Partnership.

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