Company and asset level
Diligence with the company or asset as the subject: documents, financials, cap table, contracts and market position, each finding bound to its source.
Company and asset levelPrioritise evidence gaps by whether they could change mandate eligibility, the investment thesis, downside exposure or the proposed approval conditions. Give each material gap an owner, a required source and a review deadline, and show the committee which conclusions remain provisional.
Keep each finding attached to the entity it describes and to the document version that supports it, then link it into the relevant vehicle, fund and manager review. A roll-up should explain the relationship and any exposure assumptions rather than copying a conclusion without its qualifications.
Pause or stop when verified findings breach the mandate, expose an unacceptable legal or integrity concern, or undermine a material claim that cannot be responsibly resolved. Distinguish an established adverse finding from missing evidence, and let the authorised team document whether to stop, investigate or proceed with explicit conditions.
Judgement stays human. The process becomes disciplined.
Short answer
What is continuous diligence?
Continuous diligence is the repeated testing of an investment thesis as evidence changes, rather than a report that ends at approval. Reuben AI keeps fully sourced findings, unresolved questions and committee reasoning connected through ownership.
Written by Katriona Lee, Founder, Reuben AI
Last reviewed
Continuous diligence is a structured part of an investment process, with an identifiable question, an evidence base and an accountable handoff. Its purpose is not to produce more paperwork. It is to make the reasoning behind a recommendation understandable to someone who did not conduct the original research. The scope should reflect the investment mandate, the asset or entity under review and the decision being requested. A useful record separates facts, assertions, assumptions and unresolved questions. It also states the limits of the work, including areas that require specialist review. This guide describes a practical process rather than a promise about investment outcomes.
Reuben AI is decision infrastructure for private capital. It brings diligence, research and the investment committee into one connected record, so every decision is consistent, evidence-based and traceable to its source. Judgement stays human. The process becomes disciplined.
Identify whether the review concerns a company or asset, vehicle, fund or manager. Record the jurisdiction and investment structure because they affect the questions to ask. Assign workstream owners and identify where legal, tax, technical or other specialist advice is needed.
Connect each material finding to the document or research that supports it. Record whether a statement is self-reported, checked against another source or supported by independent evidence. Keep conflicting material visible rather than choosing the document that best supports the preferred conclusion.
Turn each material uncertainty into a question with an owner, a requested source and a decision consequence. A question can remain open if the committee knowingly accepts the uncertainty. It should not disappear merely because a report is ready for circulation.
Carry conditions and thesis assumptions into ownership. When new information changes a material finding, preserve the earlier reasoning and document the revised interpretation. Continuous diligence means an accountable review process, not a promise that every external event is detected automatically.
These mistakes have a shared cause: the summary becomes detached from the work behind it. Before a handoff, ask a colleague to trace a material conclusion back to its source and explain what would change the recommendation. If they cannot do that, clarify the reasoning before polishing the presentation. A concise qualification is more useful than an unsupported conclusion, and an explicit open question is more useful than an empty field that looks complete.
Illustrative example, not a client case study: consider a proposed investment in a manager-led fund. The team begins by writing the decision question and linking the initial thesis to the material available. A management presentation supports the proposed opportunity, but a supporting document leaves an important assumption uncertain. The analyst records the disagreement rather than smoothing it into a positive summary. The workstream owner requests the underlying evidence and explains how the answer could change the recommendation. When the response arrives, the reviewer checks whether it addresses the actual question, records its limitations and updates the finding. The committee sees both the revised view and what remains open. If it proceeds subject to a condition, that condition moves into ownership with a named owner. A later review compares new information against the same assumption. The example illustrates the chain from evidence to judgement without assuming that the investment succeeds or inventing commercial results.
A reference guide is useful only if a reader can distinguish what is known from what is inferred. Give each important claim a source, explain the source’s relevance and keep any qualification beside the conclusion it affects. A source can be genuine and still be insufficient for the decision. For example, a statement about a broad industry may not apply to a particular customer segment, contractual arrangement or jurisdiction. The reviewer should be able to follow the reasoning without guessing which passage mattered. Where sources conflict, explain the conflict and the next question rather than silently selecting a preferred version.
Name the person responsible for the next action and explain what would count as a satisfactory response. A request to obtain more information is not complete until someone has considered what that information means. The review should distinguish a closed question from an accepted risk and from a matter outside scope. Preserve the reason for each status so another colleague can continue the work. If the scope changes, record the change explicitly. This makes the process usable when responsibilities move between research, diligence, committee preparation and portfolio oversight, without suggesting that a standard template replaces professional judgement.
Use only information the team is authorised to access and share. Confirm the appropriate audience before circulating a source or a summary derived from it, particularly when external advisers or platform partners are involved. Keep the decision record separate from any suggestion that software provides legal, tax or investment advice. Teams remain responsible for their governance arrangements and the decisions they make. Deployment and integration requirements should be scoped with Reuben AI rather than assumed from a workflow description. A useful evaluation starts with the team’s evidence and review requirements, then checks how the proposed setup supports them.
Data residency is available in APAC, EMEA or the Americas, with the region agreed during onboarding.
How does this work connect to the next decision? Use the other topic guides to follow the evidence through research, diligence, committee preparation and ownership review.
Reuben AI runs financial, legal, operational, market and team diligence in parallel over the same document set. Every extracted claim is bound to the document it came from and tiered as self-reported, verified or triangulated. The investment committee memo is generated from those findings rather than transcribed from them, so the evidence chain behind a decision remains inspectable long after the decision is made.
This is the evidence-building phase of Reuben AI's living decision record. Research sources, findings, assumptions and unresolved questions stay connected as the record moves into investment committee review and, after a decision, ownership.
Most funds run diligence serially. Financial review waits for the data room to settle, legal waits for financial, market work happens in parallel with nothing, and the team assessment is a set of call notes in someone's inbox. The cost is not only elapsed time. When workstreams do not see each other, a customer concentration issue in the commercial review never meets the revenue recognition question in the financial review, and the connection surfaces at IC or later. Reuben AI opens all five workstreams over the same source material, so a finding raised in one is visible to the others while the work is still open.
A diligence finding is only as good as its provenance. Each extracted claim carries the document, the location within it and a tier: self-reported when it comes from material the target supplied, verified when it is confirmed against an independent document, triangulated when two or more independent sources agree. Claims without a source are flagged rather than quietly included. That distinction is what lets a partner challenge a conclusion in the room and get an answer from evidence instead of recollection.
The IC memo is assembled from the underlying findings, with section-level confidence reflecting the tiering beneath it. Nothing is retyped, so the memo cannot drift from the work. Where evidence is thin the memo says so instead of smoothing over the gap, which is usually the most valuable line in the document. Analysts edit, partners review, and the committee reads a curated version that still points back to every source.
A typical path: documents land in the workspace and are parsed natively, including financial statements, cap tables, contracts, board minutes and technical material. The five workstreams open with their evidence requirements attached. Extraction populates claims with sources and tiers. Reference and back-channel notes are captured with attribution and weighted separately from formal references. Open questions are recorded as open, not resolved by assumption. The memo is generated, reviewed, and the decision is recorded with the evidence that supported it. Years later the same record answers what the fund knew and when.
Diligence is the evidence-gathering stage of the Living Record. Sourcing initializes the record; diligence populates it with verified claims across the five canonical workstreams: financial, legal, operational, market and team. Portfolio monitoring then inherits the baseline established here, so variance is measured against what was actually underwritten. This connection ensures findings are never re-entered or lost at handover.
Diligence runs at six levels: the asset or company, the deal, the vehicle, the fund, the manager and the portfolio. Findings at each level connect, so a single holding can be read through its deal, vehicle and fund to the manager, and out to the full portfolio it sits inside.
Diligence with the company or asset as the subject: documents, financials, cap table, contracts and market position, each finding bound to its source.
Company and asset levelDiligence with the vehicle as the subject: SPVs, co-investment and continuation vehicles, feeder and parallel structures, terms, governance and jurisdiction.
Vehicle levelDiligence with the fund as the subject: structure, terms, jurisdiction, portfolio construction and existing holdings assessed through to underlying holdings.
Fund levelDiligence with the manager as the subject: track record, team, process consistency, operational controls and governance, evidenced rather than asserted.
Manager levelThe business, property or loan itself.
What to check
Business quality, cash flows, collateral, management, legal and operational risk.
Typical evidence gaps
Unaudited figures, missing contracts, unverified management claims.
Receives from below
Source documents and evidence directly.
Passes up
Findings, risks and open questions on the underlying business, property or loan. Next: deal.
Diligence is only as good as the context behind the questions it asks. Credit diligence and venture diligence do not ask the same things, a fund in one jurisdiction is not assessed like a fund in another, and a company profile that stops updating at signing stops being useful. Asset class coverage, jurisdiction and vehicle structures, market research and continuously updating company and manager profiles all feed the same diligence record.
Native asset classes and sub-asset overlays, so evidence requirements differ by what is being assessed.
Structures assessed against the conventions of the jurisdiction they are formed in.
Market structure and comparables attached to the deal rather than held in a separate document.
Profiles that update continuously, where diligence findings become the monitoring baseline for the life of the investment.
Consistent diligence across associates and partners, evidence that survives IC debate and LP audit, and round context that carries into follow-on decisions.
Diligence for venture capital firmsEmbed diligence as infrastructure: white label, components, API or agent access, coexisting with your existing data model and vendor review process.
Diligence for platformsEach page below covers one part of the diligence layer in detail. Start with the one closest to the decision you are making.
How extraction, tiering and screening work across the document set.
Workstream templates, evidence binding and reference tracking in depth.
The platform view: what runs where, and on which investment record.
Which parts of diligence are automated, and which stay with people.
QofE summaries, debt structure and operational diligence for buyouts.
A direct comparison against generic assistants and traditional data rooms.
Each claim is anchored to a source document and tiered as self-reported, verified or triangulated. Claims without a traceable source are flagged and excluded from the memo by default, so an unsourced statement cannot present itself as a finding.
No. It structures and accelerates the analytical layer and produces evidence packs advisers can work from. Legal, tax and accounting sign-off remains with qualified advisers.
Yes. Workstream templates and evidence requirements are configurable per asset class or strategy, because credit diligence and venture diligence ask different questions of different documents.
Every customer begins with a requirements session of at least 45 minutes, after which the workspace is configured to the fund's diligence process before anyone starts using it. Scope and terms are agreed during onboarding.
Financial due diligence tests the quality of earnings, working capital, debt and cash conversion behind a valuation. Vendor due diligence is commissioned by the seller and given to bidders, so buyers read it critically, test its scope and fill the gaps with their own work. Commercial due diligence tests the market, competitive position and customer evidence behind the plan.
Advisers and auditors still do specialist work. Reuben AI organises the evidence: it links each finding to its source, tracks open questions across workstreams and carries the conclusions into the investment committee memo. Continuous due diligence then keeps those findings current after the investment is made.
How it works on one record: Reuben AI connects evidence across the asset or portfolio company, deal, vehicle, fund, manager, portfolio. A quality of earnings adjustment from the financial report links to the valuation assumption it changed. The same fully sourced record carries context from discovery through diligence, committee decisions and ownership review. Judgement stays human. See the six levels of private markets diligence, the intelligence layer and the due diligence platform.
A review of a target's earnings quality, working capital, debt and cash conversion to test the numbers behind a valuation.
Due diligence commissioned by the seller and shared with bidders. Buyers review its scope and assumptions and add their own work where needed.
Keeping diligence findings current after the investment, so monitoring and later decisions test the same evidence the committee relied on.