Technical diligence
Establish software condition against the investment assumptions your team is examining. Identify technical exposure, size repair requirements, and retain the evidence behind the conclusion.
For professional firms · Partner engagements
Your engagement. Our instrument.
Big Lever AI gives advisory, diligence, and audit firms software intelligence configured to their engagements. Define the question, the scope, and the evidence your team needs. We examine the software and deliver findings your firm can inspect and use.
The instrument supports different examinations of the same asset: its technical condition, exposure to AI substitution, remediation requirements, or evidence against specified controls.
Applications · one instrument
Technical diligence
Software condition against the investment assumptions your team is examining.
AI substitution and defensibility
Which capabilities are threatened, which advantages remain, and what a response would require.
Remediation planning
The work required, sized at the incumbent team's demonstrated pace.
Compliance inspection
Code-derived evidence against the applicable technical requirements in your assessment.
ConfigurationSet from your brief
Scope, delivery & feeAgreed at intake
OutputEvidence organized for your engagement
Configuration
Configure the work around the question.
Configurability extends from the purpose of the examination to the way the findings support your firm's work.
The question
The decision or assessment the examination serves: acquisition exposure, technical defensibility, repair requirements, or a specified control objective.
The scope
The repositories, components, interfaces, and critical functions to examine, with the required configuration and change history. Coverage and exclusions are recorded.
The analytical focus
The areas most relevant to the brief: architecture, security, scalability, maintainability, licensing, model dependence, or team concentration.
The criteria
The technical requirements, investment assumptions, or applicable controls against which the findings need to be interpreted.
The materiality
What matters to the engagement: continuity, repair burden, technical advantage, exposure, or a control exception. Findings are assessed against that context.
The deliverable
An executive account, a technical findings record, evidence mapped to requirements, or a combination structured for the people who will use it.
The agreed configuration is recorded with the examination. Every result retains its measurement basis, confirmation, and coverage.
Applications
Several applications. The same technical foundation.
AI substitution and defensibility
Assess which product capabilities are threatened by model advances or newer implementations, which advantages remain defensible, and what a technical response would require.
Remediation planning
Examine the affected components, establish the work required, and size that work at the incumbent team's demonstrated pace. Organize the findings around the priorities in your brief.
Compliance inspection
Produce code-derived evidence against the applicable technical requirements in your assessment. These may draw on SOC 2 criteria, ISO/IEC 27001, ISO/IEC 42001, applicable EU AI Act requirements, or a sector-specific obligation. Confirmed exceptions, verified-clean results, incomplete evidence, and requirements outside the technical scope remain distinct.
Each application draws on the same instrument. The engagement determines the question and how its findings are used.
The evidence standard
A consistent evidence standard across engagements.
Big Lever AI combines an array of publicly available analysis tools with an in-house execution harness and analysis layer. The tools are selected to suit the codebase and the examination.
We reconcile their results, investigate disagreements and gaps, and reproduce every material finding by an independent method, with confirmation by a named reviewer. The same inputs and measurement configuration produce byte-identical normalized measurements, reconciled findings, and AI-generated analysis.
Your deliverable retains the source, affected population, location, confirmation, and coverage behind the findings. Verified-clean results identify what the examination established for the specified examination and measured scope, including reconciliation and gap analysis. Repair estimates reflect the work required at the incumbent team's demonstrated pace.
Your firm's work
Fit the evidence into your firm's work.
We scope the examination around how your team will use the findings, who will review them, and what the engagement has to deliver. Your firm can use the technical record within a broader assessment or as the evidence supporting its own deliverable.
Private-label arrangements can be scoped with your firm, including report presentation, attribution, review responsibilities, and delivery.
Big Lever AI stands behind its technical findings. Big Lever AI performs no audit and issues no attestation or certification. Your firm determines how that evidence supports its own conclusions and any attestation or certification it is authorized to issue.
Getting started
Start with a representative engagement.
Bring a live engagement, the relevant software context, and the evidence your team needs. We will define the examination, establish what the instrument can substantiate, and scope the deliverable, timing, and fee.
Sample material is shared through an invitation-only proof room.
Request sample access