Transaction insight
Software & AI Technical Due Diligence
Understand the software risk behind the asset.
Scoped architecture, software and AI investigation for an investment, acquisition or seller-preparation decision, with clear specialist and lead-provider responsibilities.
What you receive
The result of this engagement.
A scoped view of software and AI architecture risk, its transaction implications and the evidence supporting the diligence workstream.
- A scoped technical assessment and fragility/risk matrix.
- Remediation or rebuild considerations with assumptions and confidence bands.
- Decision implications and a clear record of coverage, limitations and specialist contributions.
When this helps
Recognize the situation.
- A private equity or corporate buyer needs the software and AI risk behind an acquisition.
- An investment case depends on the maintainability and credibility of a software asset.
- An AI-built product needs examination beyond a successful demonstration.
- A broader diligence provider needs architecture or AI specialist contribution.
How the work unfolds
Evidence appropriate to the question.
Agree the scope of the transaction review
Set the technical questions, materiality, evidence access, timeline and relationship to the overall diligence lead.
Investigate the asset
Examine relevant architecture, code, operating evidence, data/AI dependencies and key-person exposure.
Translate findings into deal implications
Explain fragility, remediation paths, estimate confidence and questions that affect reliance or negotiation.
Scope & responsibility
Agree the depth. Keep the boundaries clear.
Scope of the engagement
The principal owns the integrated recommendation for the agreed architecture, software and AI workstream. The overall due diligence lead integrates our findings into the full review. Expertise, coverage and evidence access are agreed for the actual engagement.
Appropriate reliance
Legal, financial, commercial, full cyber and regulatory diligence are not automatically included. Where wider coverage is needed, an appropriately qualified lead and specialists must be agreed.
The agreed engagement sets the coverage, deliverables, responsibilities, timing and fees. Changes to that scope are agreed explicitly.
Relevant experience
Read the work in its actual context.
Buy-side AI/ML diligence contribution
Founder experience contributing AI and architecture expertise within buy-side technical diligence work.
Read the accountSparkling engagementTargeted hardening for a live AI-built platform
A live product with paying customers needed an independent view before a larger commercial commitment. The recommendation was targeted hardening, with sound architecture retained.
Read the accountThe paid product assessment demonstrates investigative work, not a transaction mandate. The buy-side contribution is attributed prior-employment experience.
Practical questions
Before engaging us.
Do you cover the full scope of technology due diligence?
The engagement must specify the scope and responsibilities. Sparkling can contribute scoped architecture, software and AI expertise; broader lead-provider responsibilities require explicit qualification and coverage.
Can you support seller preparation?
A separately scoped readiness and evidence-preparation engagement can identify technical questions before a transaction. It is distinct from an independent buyer-side opinion.
Related work
Related architecture contributions
Each contribution is available as a standalone service when the evidence and scope support it.
What is the decision you need to make?
Share the situation and the intended commitment. We will establish whether this scope fits.