A Point of View
When a transaction is on the horizon, your Product, Engineering, and AI will be examined by people whose job is to find what is wrong.
The Question
Will you find the gaps before the buy-side does?
Diligence is rarely lost in the data room. It is lost in the quiet, source level details that surface only when an independent operator opens the systems and reads them as an acquirer would.
The AI Test
Every acquirer now asks whether your AI is real, or theater the next wave will obsolete.
No industry standard yet exists for assessing AI across the SDLC. Most companies cannot prove their answer. We can, anchored in the AI Validation Gap — our framework for proving AI delivers measurable outcomes, not theater and backed by an applied AI practice, not a literature review.
Technical diligence findings can delay transactions, compress valuation multiples, increase escrow holdbacks, or create post-acquisition remediation obligations that transfer risk back to the seller. What you find first, and fix first, determines whether those findings become leverage for the buyer or evidence of your discipline.
Assessment Scope
What we examine across Product, Engineering, and AI.
Every engagement begins with a source-read review of your actual systems, artifacts, and practices — not a deck review or a management interview series. Coverage spans eleven dimensions.
Product Strategy
Roadmap Discipline
Engineering Velocity
Technical Debt
Architecture
Security Posture
Development Lifecycle
AI Implementation Maturity
Data Platform Readiness
Team Structure & Capacity
Leadership & Operating Model
The Outcome
Confidence, measured in evidence.
The objective is to demonstrate that the company is scaling with the discipline, innovation, and operational excellence expected of market leaders, while ensuring AI is being leveraged as a competitive advantage rather than a future disruption risk.
Leadership
A clear, evidence based view of where Product, Engineering, and AI stand against top tier SaaS benchmarks, and what to act on next.
The Board
An independent read that confirms the technology strategy and operating discipline match the company's growth trajectory.
Investors
A defensible position for the next funding event, with Product, Engineering, and AI evidence ready for Series C and later stage scrutiny.
Future Acquirers
A diligence ready posture that withstands a source level review and enhances valuation in a strategic acquisition.
Everything in this engagement is designed to produce that confidence through measurable evidence, not assumptions or assertions.
Methodology
Three phases. Engaged independently.
Each phase is priced and scoped on its own, so you engage exactly where coverage is needed. Together they convert assertion into evidence the board, investors, and acquirers can trust.
Phase One
Baseline
An independent, source read assessment of Product, Engineering, and AI against named benchmarks, with a clear gap map you can act on immediately.
Phase Two
Plan
A prioritized, costed plan to close the gaps, written to be defensible to your acquirer, not just internally plausible.
Phase Three
Implement
We close the gaps we find. Take any one phase, any two, or all three, depending on where you need coverage most.
Deliverables
What you receive at the close of Phase One.
Every deliverable is written to withstand a buy-side review — not just satisfy an internal audience.
Diligence Readiness Score
Executive Summary
Risk Register
AI Readiness Assessment
Engineering Maturity Evaluation
Product Operating Model Review
Valuation Risk Analysis
Prioritized Remediation Roadmap
Phase Two and Three deliverables are scoped during the engagement briefing.
The Distinction
An operator led assessment, set against the traditional diligence report.
Why Sonatafy
An operator's perspective, not a generalist framework.
Global strategy and consulting firms excel at enterprise transformation and broad advisory work. This engagement requires something different: an operator's perspective grounded in modern SaaS execution, software engineering excellence, and practical AI adoption. Sonatafy combines executive level strategic assessment with hands on technical expertise. The work is led by experienced software operators, engineering leaders, architects, and AI practitioners who have built, scaled, and modernized SaaS organizations, not large teams of generalists.
Sonatafy understands the questions investors, boards, and acquirers will ask because we operate in the software industry every day. The goal is leadership confidence that the organization performs at a top tier SaaS standard and is positioned to thrive in an AI driven market, while standing up to the scrutiny of future funding rounds, technical diligence reviews, and strategic acquisition evaluations.
A Quiet First Step
Transactions reward preparation. They punish surprises.
The Diligence Readiness Scorecard takes twenty minutes and tells you where Product, Engineering, and AI stand against the top tier SaaS benchmarks leadership, the board, investors, and acquirers will apply.
Private briefings are 30 minutes, confidential, and carry no obligation.