Technology Due Diligence

Does the technology
actually work?

We assess whether the technology works and is scalable, the data holds up, the tech claims are real.

Start a conversation → See the assessment lenses
Why it matters

Four risks a technology
review needs to answer.

The question is not whether technology exists. It is whether it works at the scale and under the conditions the thesis requires. These are the four gaps that surface most often in impact portfolios.

Risk 01

Technology that cannot scale

Systems handling today’s volume often fail at 3 to 5 times current load. Remediation costs appear after close, not before.

Risk 02

Data that does not hold up

Manual workarounds dressed as reporting systems are common. The gap becomes material under LP scrutiny and at exit.

Risk 03

Tech claims that are not real

AI and automation are frequently overstated in deal materials. Governance gaps and absent documentation reveal the difference between a working model and a pitch.

Risk 04

Unquantified post-close spend

Technology requirements not captured before signing are the most consistent source of margin erosion in the first 18 months after close.

What we assess

Eight lenses.

Each lens connects the tech stack to the investment thesis. The combined output is an investment-grade view of what works, where data is fragile, and which claims can be substantiated.

Does it work?Systems, architecture, and operating model tested against what the thesis requires at scale.
Does the data hold up?Impact data, reporting systems, and evidence quality assessed against LP and exit standards.
Are the claims real?AI models, automation, and governance structures verified — not taken at face value.
Technology Due Diligence — eight assessment lenses infographic
Eight assessment lenses designed to show where the thesis is supported, where risk sits, and where value can be created post-close.
Holistic view. Clear insight. Confident decisions.
Service workflow

A deal-speed process.
Built for IC decisions.

Nine stages from thesis alignment to post-close support. Scoped to match deal pace, with outputs anchored to investment action.

Nine-stage diligence workflow for technology due diligence
From early insight to post-close action: what matters to the thesis, what it costs to remediate, what to protect in the SPA, and what needs to happen in the first 100 days after close.
Disciplined process. Deep technical insight. Clear outcomes.
Three engagement modes below. The workflow stays consistent; depth and speed vary with the fund’s needs.
Mode 01

Red-flag review

4 to 6 weeks

An early read on technology, data, AI, cyber, and vendor risk before full diligence commits. Used when the fund needs rapid clarity on whether to proceed and where to probe harder.

Best before committing to full diligence workstreams.
Mode 02

Full diligence workstream

6 to 8 weeks

All nine stages at deal pace, alongside financial and commercial workstreams. IC-ready findings on technical risk, investment requirements, and value creation implications.

Best for funds with a live deal in active diligence.
Mode 03

Diligence and 100-day plan

10 to 12 weeks

Full diligence with a sequenced post-close plan: priorities, owners, KPIs, and early wins across systems, data, AI, cyber, and critical workflows from day one.

Best when the fund wants to move from decision to execution without losing context.
Sector modules

Adapted to the business model and context.

A lender, a processor, and a climate platform do not fail in the same ways. The diligence agenda is adapted to the operating reality of the company being assessed, with sector specialist support.

Module 01

Lending and MSME finance

  • Credit models, bureau integrations, and responsible lending controls
  • Origination, collections, and portfolio monitoring workflows
  • Payments, reconciliation, and field operations
  • Digital channel scalability and embedded finance readiness
Module 02

Agriculture and supply chains

  • Farmer registries and supplier data quality
  • Procurement, grading, and payment workflows
  • Traceability, chain of custody, and buyer reporting
  • Embedded finance readiness from transaction data
Module 03

Climate and resilience

  • Climate data quality and reporting cadence
  • Geospatial infrastructure and resilience indicators
  • Greenhouse gas logic, avoided emissions, and assumptions
  • Evidence quality behind impact claims at exit
Module 04

AI, data, and cyber risk

  • AI model governance, bias checks, and human oversight
  • Data protection, access controls, and incident readiness
  • Vendor SLAs, data rights, and exit provisions
  • Regulatory compliance and AI documentation standards
What the fund receives

Six deliverables.
Each built for a decision.

Diligence is not a report. It is a decision. The six core deliverables converge into two practical outcomes: a clearer investment decision and a more useful post-close action plan.

Decision-ready deliverables flow diagram for technology due diligence
Six decision-ready deliverables feeding into two outcomes: a clearer investment decision and a more practical post-close action plan.
Everything needed to decide with confidence and act with speed.
01

Red-flag memo

Top technology, data, AI, cyber, and vendor risks before full diligence begins.

02

Risk heatmap

Each risk rated by severity, timing, and deal implication — covenants, conditions, or valuation adjustment.

03

Technology investment estimate

Post-close remediation and transformation costs by category, as direct input to the deal model.

04

IC-ready diligence note

Risk, value potential, and recommended deal protections — written for the investment committee, not a technology team.

05

100-day value creation plan

Sequenced priorities, owners, and KPIs across systems, data, AI, cyber, and workflows from day one after close.

06

Impact data readiness assessment

Evidence quality assessed against LP reporting requirements and exit due diligence standards.