OCIO AI for manager diligence and IC memos

Diligence and reporting at the speed of capital

OCIOs, fund of funds, and direct LPs. From manager statements to portfolio view: automated K-1, capital call, and distribution ingestion reconciled across every underlying manager and vehicle, feeding the reporting stack you already run, scaling with mandates, not headcount, traceable to source.

10 days
From scoped pilot to first full IC memo
Manager reviews per analyst, per cycle
Compliance-ready
Memo trail with full citation chain
50+ GPs
Normalized in a single deployment
Amina Al-Mansoor, Head of Investment Operations
Workforce persona
Amina Al-Mansoor
Head of Investment Operations

The Aktus allocator workforce runs alongside operators like Amina. It ingests and reconciles the manager statements, capital calls, and distributions across every fund relationship. Amina keeps the judgment, the manager and board relationships, and the final view of the portfolio.

36,229Aktus agents spun up to date
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Who we serve

Built for teams deploying capital on a deadline.

Aktus deploys inside the allocators whose diligence packages, IC memos, and performance reporting are the operational fabric of institutional alts allocation.

Capital Allocation

Outsourced CIOs

Multi-billion-dollar OCIOs running endowment, foundation, and family-office mandates.

  • Manager diligence at scale
  • House-view normalization
  • IC-ready memo production
LPs

Sophisticated direct LPs

Pension and sovereign teams allocating direct to GPs, increasingly without consultants.

  • Multi-cycle pacing models
  • Performance attribution
  • LP-side fee analysis
FoFs

Funds of funds

Boutique FoFs differentiating on speed and thesis, against a wall of incoming PPMs.

  • PPM screening pipeline
  • Track record normalization
  • GP-by-GP underwriting
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What Aktus automates

From PPMs to IC memos.

An AI worker reads the same diligence stack your senior analyst reads, and produces the memo your IC would read, with every claim cited to a manager document.

Inputs our AI worker ingests
  • Private placement memorandums and DDQs
  • Manager presentations and data rooms
  • Historical track records and benchmarks
  • Reference call notes and ODD findings
  • Your house view, target return, and pacing model
  • Prior IC memos and post-mortems
Outputs our AI worker produces
  • IC-ready memos with citation chains
  • Performance normalization across vehicles
  • Fee load analysis vs. peer set
  • Risk factor extraction and side-letter map
  • Reference call discussion guides
  • Pacing-fit and portfolio overlap assessments
What stays with your team: conviction, the reference calls, and the allocation decision. The AI worker removes 70% of manual document parsing and normalization.
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See what ships

A real artifact, with every figure traced to source.

A stylized sample of an IC memo manager comparison table. Every metric carries the PPM, statement, or benchmark it came from. A named CIO signs off. before it ships.

IC memo · Manager review
Buyout III, recommendation summary
Prepared by Amina Al-Mansoor
APPROVED
Metric
Manager
House view
Variance
Source
Net TVPI, vintage 2019
1.84x
1.78x
+0.06x
Q3 LP statement
DPI, vintage 2019
0.62x
0.58x
+0.04x
Capital account stmt
Net IRR since inception
17.4%
16.2%
+1.2pp
PPM p.18
PME vs Russell 2000
+340 bps
+210 bps
+130 bps
Cambridge benchmark
Concentration, top 5
38%
42%
(4pp)
Manager DDQ §3

Every figure traces to its source. A named person signs off. before it ships.

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Why this needs Aktus

Frontier models can’t do institutional diligence alone.

You already use Claude, ChatGPT or Gemini. Aktus makes them production-ready for alternative assets.

The frontier model problemManager diligence is a long-horizon, citation-heavy, house-view-anchored reasoning problem. A general model has no view; an Institutional Allocator's value is the view. Aktus is the difference between a model that summarizes a PPM and a worker that underwrites it.
THE PROVENANCE GAP

House-view anchoring

A frontier model will produce a confident number with no provenance. Aktus anchors every output to a source document and refuses to produce a figure it can't trace

Your view is a versioned, evaluable artifact.
THE CONTEXT GAP

Track-record normalization

Cross-vintage, cross-vehicle performance comparison requires structured work models can’t do reliably from prose.

Aktus uses typed extractors and audited math.
THE ACTION GAP

Reference-call synthesis

A general model can summarize a call but can’t cross-check it against the PPM, the DDQ, and the prior cycle.

Aktus runs structured cross-document checks.
An AI diligence worker is not a model. It is a model wrapped in your house view, governed by an evaluation harness, and run inside your perimeter.
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Context orchestration

How our worker stays accurate.

Aktus runs every worker against a continuously evaluated context graph, your house view, your prior memos, your reference network, so the worker’s answers track your firm’s conviction, not the public internet.

01

Manager graph

Every PPM, DDQ, and track record is parsed into a typed graph with version history and vehicle-level provenance.

02

House view

Your target return, pacing model, and conviction framework are first-class objects the worker queries.

03

Eval harness

A regression suite of prior memos runs on every model change. Deployment is gated on consistency with your senior analyst.

04

CIO review

Memo-level outputs route to your CIO. Their edits update the house view for the next cycle.

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Economics

More managers reviewed. Same analyst team.

Institutional Allocator economics are bounded by the number of managers each analyst can underwrite in a cycle. Aktus changes the ratio.

Diligence today
  • ×Senior analyst time consumed by PPM reading
  • ×Manager throughput capped at 12–15 per cycle
  • ×Performance normalization done in Excel, manually
  • ×New asset classes require new analyst hires
  • ×IC memo quality varies analyst-to-analyst
With Aktus inside
  • Senior analyst time spent on conviction and refs
  • Manager throughput 4× without analyst hiring
  • Performance normalized to your house benchmark
  • New asset classes are a configuration, not a hire
  • IC memo quality reflects the firm, not the analyst
Managers underwritten per analyst, per cycle
60%
Reduction in time from data room to IC memo
< 90 days
Payback on a typical Institutional Allocator deployment
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Sovereign deployment

Your perimeter. Your data. Your fiduciary duty.

Aktus runs inside your environment, against your documents, under your audit trail. NDA boundaries are not crossed; primary documents never leave your boundary.

Sovereign by default

Deployed in your VPC or on-prem. Aktus operators see logs and metrics, never PPMs or DDQ responses.

  • SOC 2 Type II
  • AWS, Azure, GCP, on-prem
  • Customer-managed keys

Fiduciary audit trail

Every memo carries hash-chained provenance, committee can trace any claim back to the manager document it came from.

  • Immutable provenance log
  • CIO sign-off captured
  • Exportable for compliance review

Model-agnostic

Run on frontier APIs, your private inference, or hybrid. Switch underlying models without redeploying the worker.

  • Anthropic, OpenAI, on-prem
  • Per-task model routing
  • Versioned, evaluated upgrades
Compatible with your alts stack
Backstop
Dynamo
Solovis
Albourne
Aladdin
Cambridge
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ALWAYS A HUMAN IN THE LOOP

What stays with your team.

Aktus takes the volume work. It does not take the work only your people can do.

01
Allocation and manager judgment.

Strategic asset allocation, manager hire and fire decisions, rebalancing posture, and the conviction behind every commitment remain with your investment committee. Aktus runs the screens, builds the diligence pack, and models the portfolio impact, but the calls that shape long-term returns are made by the people the asset owner hired to make them.

02
Client and board relationships.

Trustee meetings, endowment board reviews, foundation calls, and the quarterly conversations that retain the mandate stay with your client-facing partners. Aktus produces the performance pack, attributes returns, and drafts the commentary, so your team walks into every board meeting fully prepared. The fiduciary trust that wins the next mandate is yours to hold, not ours to automate.

03
Final sign-off.

Every commitment, every rebalance, every IC memo, every client-facing report carries a named approver before it goes live. Aktus routes the work, flags the policy exceptions, and holds a complete audit trail, but no allocation moves and no number reaches a trustee until a person on your investment team has reviewed and signs off.

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Frequently asked

What buyers ask before they pilot.

Our team must review every output.
That is the model. Aktus is invisible, and every output routes to a named person for sign-off. Our AI worker accelerates production. Your team keeps the judgment and the signature.
We already use Backstop, Dynamo, or Solovis.
Keep it. Aktus sits above your CRM and analytics, reads the PPMs, DDQs, and manager updates those tools cannot, and feeds normalized output back in. Your platform stays your system of record.
Can AI be trusted with these numbers?
Financial math runs through a deterministic rule engine, not model output. Every figure cites its source. A named human approves before anything ships.
How fast can we see value?
A focused pilot on one workflow goes live in three to six weeks. We instrument a single recurring artifact, prove the unit economics, and only then expand scope.
Our IC needs defensible memos, not AI summaries.
Every memo Aktus drafts carries a full citation chain back to the manager document each claim came from. The CIO edits the memo in their own format, and those edits update the house view for the next cycle.

Allocate at institutional speed.

Your investment expertise. Our AI operations engine. Scale your AUM without scaling your back office.

Not ready yet? Read the field guide.