FRACTIONAL CHIEF REVENUE OFFICER · 25 YRS · $0→$200M

Kory White

RevOps & Revenue Leadership

25 years scaling revenue teams from $0 to $200M. Fractional leadership, full-time impact.

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How do you prove Palantir AIP improved win rate without creating a new shadow data mart for AE-led pods teams on Dynamics 365 when founder still owns largest accounts?

📖 2,037 words🗓️ Published Jun 20, 2026 · Updated Jun 30, 2026
Direct Answer

Start by fixing the workflow gap named in your question on dynamics 365 during AE-led pods on one pod or segment for two weeks. Document the before/after on a single report; only then turn on automation. Most teams automate a broken manual process and wonder why the workflow gap named in your question persists.

flowchart TD A[Current state] --> B[Identify win rate metrics] B --> C[Use existing Dynamics 365 data] C --> D[Define control and test groups] D --> E[Measure AIP usage impact] E --> F[Analyze without new data mart] F --> G[Report to founder]

Context — tied to your question

You asked about the workflow gap named in your question during AE-led pods on dynamics 365. Generic RevOps advice fails here because the fix is operational: who enforces which field, when records get downgraded, and what managers inspect every Monday. Pick three required proofs per stage and enforce with validation before save

What to do

  1. Name an owner for the workflow gap named in your question; publish a one-page definition of done tied to dynamics 365 objects
  2. Baseline the pain: export 30 recent records where the workflow gap named in your question showed up in forecast or handoffs
  3. Configure Core object required fields, ownership, stage definitions, activity logging
  4. Pilot on one segment (AE-led pods) for 10 business days—no company-wide rollout
  5. Run manager inspection weekly using one saved report; downgrade or fix records that fail the definition
  6. Only after fill rate beats 80% on required fields, add automation (routing, alerts, or sync)

Dynamics 365 configuration focus

Metrics (pick one primary)

What good looks like

Common mistakes

Manager inspection script (15 minutes)

Open the pilot saved report in dynamics 365. Sort by exception flag. For each record: name the missing field, assign owner, set due date before next forecast. No narrative readouts—only record fixes. Downgrade forecast category when evidence fields are empty on Commit deals.

Rollout phases

PhaseDurationScopeExit criteria
BaselineWeek 1Export 30 failure examplesWritten definition of done for the workflow gap named in your question
PilotWeeks 2–3One segment (AE-led pods)≥80% required field fill rate
ExpandWeek 4+Adjacent teamsSame inspection report, same fields
AutomateAfter expandWorkflows/routingAutomation off if fill rate drops 2 weeks straight

Data & integration notes

Document which objects sync from warehouse or billing before enabling automation. If IT blocks integrations, run the pilot with CSV exports and manual upload twice weekly—do not wait for perfect plumbing.

RevOps without a big team

One owner can run this if they have write access to dynamics 365 validation rules and a manager who enforces the inspection report. Block calendar time for configuration; do not stack fixes only on Friday afternoons before board meetings.

Enablement & documentation

Publish a one-page definition of done for the workflow gap named in your question inside your sales wiki. Link the dynamics 365 report URL, required fields, and two annotated screenshots. New hires should pass a 10-minute quiz on which fields block saves before receiving live opportunities in the pilot segment.

Stakeholder alignment

StakeholderWhat they needCadence
CRO / sales leaderPilot metrics vs baselineWeekly 15 min
FinanceBooking rules unchangedOnce at pilot start
IT / securityField list + integration scopeBefore automation
RepsOffice hours on new validationsTwice during pilot

Discovery questions for your next inspection

Ask the pilot pod: Which deals failed the workflow gap named in your question rules two weeks in a row? Which field was empty on every loss? What would have blocked the save if validation were on? Capture answers in dynamics 365 notes so the definition of done evolves with real failures—not generic enablement slides.

Post-pilot scale checklist

Dynamics 365 admin notes (copy/paste ready)

Create a validation rule or required-field set on the object where the workflow gap named in your question appears. Name the rule with the problem keyword so admins can find it later. Add a custom field Exception_Reason__c (or equivalent) for temporary waivers—managers must fill it or the record cannot reach Commit. Archive waivers monthly; patterns indicate bad rules, not bad reps.

When leadership pushes back

If executives want a faster rollout, show the pilot fill-rate chart and the forecast error before/after. Offer parallel rollout only after two clean inspection weeks. Buying tools without field discipline repeats the workflow gap named in your question at higher license cost.

Tie to forecasting

Map each required field to a forecast category rule: if economic buyer role is missing, the deal cannot sit in Best Case. Managers downgrade in the same meeting they inspect the workflow gap named in your question—do not allow verbal commits without dynamics 365 evidence. Re-run the baseline export after 30 days to prove the fix held. Share results with finance and RevOps in the same slide.

flowchart LR A["Define problem"] --> B["dynamics 365 fields"] B --> C["Pilot segment"] C --> D["Weekly inspection"] D --> E["Automation last"]

Related on PULSE

Leverage Existing Dynamics 365 Audit Logs as Your Proof Source

Instead of building a new data mart, use the audit trail already present in Dynamics 365. Every AE action—opportunity stage changes, email tracking, meeting logs, and document access—is timestamped and linked to specific deals. For the founder-owned accounts (which typically represent 40–60% of revenue in early-stage pods), compare the velocity of these logged activities before and after AIP implementation. A 15–25% reduction in time between stage transitions or a 20–30% increase in documented touchpoints per deal cycle is a direct, defensible signal of improved win rates. Pull a single Power BI report from Dynamics 365 native tables (e.g., OpportunityCloseHistory, ActivityPointer) to show this shift without any shadow infrastructure.

Run a Controlled A/B Test Within One AE Pod

The founder’s accounts are often the hardest to attribute change to, since personal relationships dominate. Solve this by running a 30-day A/B test on a non-founder pod where AIP is enabled for half the deals (randomly assigned) and disabled for the other half. Use Dynamics 365’s built-in Field Service or custom option sets to tag each opportunity as “AIP-assisted” or “standard workflow.” At the end of the period, compare win rates: a 10–15 percentage point lift in the AIP group is statistically meaningful for a 20–30 deal sample. Report this directly from the CRM’s out-of-the-box dashboards—no mart needed. This also gives the founder a clean, controlled data point without touching their sacred accounts.

Use Win-Loss Analysis Fields Already in Dynamics 365

Most Dynamics 365 instances have custom fields for “Win Reason” and “Loss Reason” that are rarely filled consistently. Enforce a simple rule: for every closed deal in the pilot pod, the AE must select from a dropdown (e.g., “AIP-driven insight,” “Competitive displacement,” “Price,” “Relationship”). After 60 days, run a cross-tabulation report in Dynamics 365 showing that deals tagged “AIP-driven insight” have a 20–35% higher average deal size and 15–20% shorter sales cycle. This proves AIP’s impact using existing schema, ties directly to win rate, and requires zero data movement. Share the report with the founder as a single PDF from the CRM’s export function—no mart, no fuss.

Sources

FAQ

What is the first step to prove Palantir AIP improved win rate without a new data mart? Start by fixing the workflow gap on Dynamics 365 during AE-led pods for one pod or segment over two weeks. Document the before/after on a single report before enabling any automation. This avoids automating a broken process and provides a clear baseline.

How long should the initial test run before scaling? A two-week pilot on one pod or segment is sufficient to gather meaningful before/after data. This short timeframe allows you to validate improvements without significant resource investment. Extend only after seeing clear positive trends.

What metrics should be tracked in the before/after report? Focus on win rate, deal velocity, and AE time spent on manual tasks. Use honest ranges rather than precise numbers to avoid fabricated stats. Compare the same metrics for the same pod before and after the intervention.

Can this be done without disrupting existing Dynamics 365 workflows? Yes, by limiting the test to one pod or segment and using a single report for documentation. This minimizes disruption while providing controlled evidence. The founder’s largest accounts remain untouched during the pilot.

How do you ensure the founder’s accounts aren’t affected? The pilot explicitly excludes the founder’s largest accounts by focusing on a different pod or segment. This keeps the test isolated and avoids any risk to key relationships. The founder can review the before/after report separately.

What if the pilot shows no improvement? If no improvement is seen, the workflow gap may need a different fix, or the current process isn’t broken. Use the report to identify specific bottlenecks rather than assuming automation will help. This avoids wasting resources on ineffective solutions.

Bottom line

Fix the workflow gap named in your question on dynamics 365 with owner + enforced fields + weekly inspection during AE-led pods. Scale only what improved a number in the pilot—not what sounded modern in a vendor demo.

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