Pilot Playbook

A production-minded pilot plan for Fund Analyst Intelligence with clear scope, governance, measurable success criteria, and scale-out steps.

Pilot Playbook

A pilot should prove one thing.
Fund Analyst Intelligence can run a monthly validation cycle in your environment with outputs your team trusts.

A pilot is not a generic demo.
It is a controlled production exercise with measurable results.
It should end with a go / no-go decision based on evidence.

Pilot objectives

A successful pilot demonstrates:

  • repeatable monthly validation with low operational friction
  • meaningful exception detection with signal over noise
  • evidence-first outputs that are reviewable and defensible
  • report templates that match allocator and client expectations
  • a clear operating model for review, approval, and publication

Phase 0 — Define scope

Choose the fund set

Select a small but representative group.

Recommended selection

  • 5–15 funds
  • mix of strategies and managers
  • at least one “complex” fund with richer documentation
  • at least one fund with known change history

Define the validation scope

Agree what is validated monthly.

Typical scope areas

  • identifiers and reference fields
  • fees and share class terms
  • liquidity and redemption terms
  • key people and organisation changes
  • strategy, mandate, and risk statements
  • operational providers and governance facts

Define the reporting outputs

Choose the deliverables that matter.

Typical pilot outputs

  • monthly validation memo per fund
  • evidence pack per fund
  • portfolio exception summary
  • optional quarterly IC pack section structure

Phase 1 — Align governance

Source policy

Define what sources are allowed.

  • user-provided artefacts (DDQ, factsheets, decks, letters)
  • approved online sources by allow-list
  • recency and freshness rules
  • retention and access control expectations

Approval workflow

Define who reviews and signs off.

Roles

  • operator: runs cycles and triages exceptions
  • reviewer: resolves issues and approves outputs
  • owner: accountable for final publication policy

Materiality policy

Materiality must be explicit.

  • category severities
  • quantitative thresholds where relevant
  • confidence requirements for alerts
  • escalation rules and follow-up ageing

This is calibrated during the pilot.
It is then stabilised for operational use.

Phase 2 — Baseline creation

A pilot requires a baseline snapshot for each fund.
The baseline is the reference for all future deltas.

Baseline tasks

  • ingest initial artefact set
  • extract and normalise target fields
  • run validation checks
  • resolve missing evidence and contradictions
  • approve the baseline snapshot

Baseline outputs

  • approved fund profile
  • evidence pack
  • validation completeness score

The baseline phase is where trust is built.
It should not be rushed.

Phase 3 — Run the first monthly cycle

The first cycle is the key proof point.
It should be executed end to end.

Cycle steps

  1. ingest the month’s source updates
  2. extract and validate fields and claims
  3. compute deltas vs baseline
  4. apply materiality thresholds
  5. generate exceptions queue
  6. review and resolve exceptions
  7. generate monthly memo and evidence pack
  8. approve and publish outputs

What you measure

  • cycle time per fund
  • exception counts by category and severity
  • reviewer effort and time-to-close
  • evidence coverage for key fields
  • false positives and missed changes

Phase 4 — Calibration and stabilisation

After the first cycle, tune the system.
Tune by category, not globally.

Calibration targets

  • reduce noise without hiding risk
  • ensure alerts are rare and meaningful
  • ensure exceptions are actionable
  • align narrative tone and structure with your reporting style

Typical calibration changes

  • adjust materiality thresholds by category
  • strengthen evidence confidence requirements
  • add or refine validation rules
  • update templates to match IC and client expectations
  • clarify follow-up ownership and SLA expectations

Phase 5 — Go / no-go decision

A pilot should end with a clear decision.
The decision should be based on measurable outcomes.

Suggested success criteria

Operational

  • monthly cycle completion within agreed SLA
  • reviewer effort reduced versus current baseline
  • clear exception handling and closure workflow

Quality

  • evidence coverage above agreed threshold for key fields
  • low rate of unresolved contradictions
  • stable report structure with acceptable narrative tone

Adoption

  • reviewers trust outputs and sign off
  • stakeholders use the memo and exception summary
  • follow-ups are tracked and closed with less friction

If these criteria are met, scale-out is justified.
If not, you either revise scope or stop.

Scale-out plan

Once value is proven, scale is straightforward.

Step 1 — Expand fund coverage

Add funds in batches.
Keep the same operating model.

Step 2 — Increase cadence where needed

Monthly remains the default.
Event-driven alerts can be added for high-sensitivity funds.

Step 3 — Integrate downstream systems

Introduce exports and API-based flows.

Typical integrations

  • CRM and client reporting systems
  • document management and archival
  • portfolio dashboards and governance tooling

Pilot deliverables checklist

At pilot completion, you should have:

  • fund list and scope definition
  • documented source policy
  • documented materiality and escalation rules
  • baseline snapshots approved for all pilot funds
  • one completed monthly cycle with outputs
  • measurable KPI summary and lessons learned
  • scale-out recommendation with next steps

This is what “production-minded” means.
It is a pilot that produces operational evidence, not marketing claims.