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Process Discovery · Sales Playbook · v1

How to sell the co-design

The conversation guide that pairs with the product brochure and the design partner offer: the pitch, the demo order, the objections with counters that have worked in real calls, the ROI math for defending €50K, the design-partner qualification funnel, and the deal mechanics. Source: the Prudential architect call (June 2026) and the founding team's deal notes.

The one thing to remember

Lead with process intelligence, never with agents. If you open with "AI agents," you get compared to every automation platform on the market. Open with the ontology and the cockpit — "here is what we understand about your company" — and let the prospect pull you toward automation. This is exactly how the Prudential call turned: the excitement started when the intelligence layer came on screen, not before.

#01 The pitch in 30 seconds

Every enterprise wants to layer AI into its operations, and almost none of them can say precisely how their work is done today. That knowledge lives in people's heads, not in systems. We interview your people with AI, watch the real work happen, and build a living map of your operations — with an ROI-ranked list of what to automate first and blueprints your engineers can build from immediately. No integrations to start. First automation live during the engagement.

Position: we are the intelligence layer that tells an enterprise where AI can actually be applied. Not an RPA vendor, not a consulting study, not a mining tool that needs a year of connectors.

Language discipline

#02 The demo playbook

Demo link: process-mining-demo.pages.dev. Four screens, in this order. Show, pause, let them react — the Prudential call worked because we "did not frame much, just opened the prototype and noticed what was most exciting to him."

1 · The whole organisation architects lean in 2 · One process process owners lean in 3 · The blueprint engineers lean in 4 · The decision executives lean in — end here
The arc: zoom from the whole company to one process, hand over the blueprint, end on the business case.
1 · ONTOLOGYOntology graph — the whole organisation, connected
"Here is what we understand about your organisation"
The full map: processes, systems, KPIs, teams, all connected. Point at the plain-English query bar. This is the screen a technical executive has never seen before — give it air time. If they lean in here, the deal is alive.
2 · PROCESS CANVASProcess canvas — one process, made visible
"And here is one process, made visible"
Steps, decision points, the human review gate — and the evidence-backed confidence on every step. The message: we always know what we understand and what we don't. "Here's what we understand" was the exact moment the Prudential architect called it powerful.
3 · RUNBOOKRunbook — the blueprint engineers download
"This is what your engineers get"
The operating knowledge in plain language plus training and test cases. One line: "not a report — a package an AI agent learns from and is graded against." Keep this screen short unless the audience is technical.
4 · COCKPITAutomation cockpit — the decision view
"And this is how leadership decides what's next"
Value vs. effort, projected savings, payback, owners. End here — it's the screen that turns a technical demo into a business case, and it was rated the strongest part of the Prudential call.
Do not promise Simulations, shadow runs, document-upload context and the human review/approval flow are roadmap, not shipped. Frame them as "where this is going, and as a design partner you shape it." Everything in the four screens above is safe to show and claim.

#03 Objections and counters

The first two happened verbatim in the Prudential call — and the counters below are what actually turned them.

Aren't you basically UiPath / RPA with AI on top?
Comes up the moment you say "we understand existing processes." The Prudential architect said it out loud: "I'm mapping you in my head to UiPath."
  • Don't argue with the comparison — redirect the frame: UiPath overlays AI onto an automation construct. We are the intelligence layer above all of that: we tell you where AI is worth applying at all.
  • His words after the reframe: "That story is much more interesting than where you started." Use the ontology screen to make the difference visible instead of verbal.
We already invested in Celonis / process mining.
Most large enterprises have a mining tool and don't want to admit it underdelivered.
  • Agree — and reposition: that investment isn't wasted. Mining shows what systems log; it misses everything that happens between systems and in people's heads.
  • We are the discovery and context layer that feeds it: their mining data can flow into our cockpit and finally become automation decisions. The Prudential architect's own point: existing mining tools "are not really built for integration with agents."
  • Mining tells you a claim sat open for 50 days. We tell you why — the manual back-and-forth — and what automating it is worth.
If we're design partners shaping your product, why are we paying €50K?
Fair challenge — the answer is what the money buys, not the discount.
  • The fee buys outcomes, not access: ten processes with ROI analysis, three deep maps, one automation running live. That alone replaces a consulting engagement that costs more and delivers a PDF.
  • Comparable process-intelligence platforms sell to enterprises at six-figure annual contracts. €50K fixed, with the product shaped around you, is the partner deal — and it ends when the product is finished.
  • Skin in the game keeps both sides serious: paying partners get prioritised, and their feedback carries weight on the roadmap.
What happens to our data? Does it go to OpenAI?
Will come from IT security and, in Germany, the works council. Answer factually, never vaguely.
  • Default setup: data is processed via enterprise AI APIs under DPAs — and access controls mean employees and the AI only see what the mapped process needs. Sensitive fields stay hidden.
  • For sensitive environments there is a private deployment option — process data stays on infrastructure they approve.
  • Then hand over, don't improvise: "Send me your security checklist and you'll have written answers." Loop in the team for sub-processor lists and certifications.
Why not wait until the product is finished?
  • The partner price and roadmap influence exist only now. Later they buy a finished product, at full price, shaped by someone else's processes.
  • Waiting costs the savings too: every quarter their top processes run unmapped is measurable money (use the ROI math below on their example).
Our people have no time for this.
  • Total ask: three process owners × one hour a week, a 30-minute check-in, one leadership session. Under four hours of company time weekly.
  • Compare against the alternative: workshop-based documentation projects consume entire teams for months and go stale immediately.

#04 Battlecards

The three names you will actually hear in deals. Never open by attacking them — acknowledge what they are good at, then place us on a different layer. Wedges are v1: validated at positioning level, sharpen them with what you hear live.

INTEGRATION-FIRST INTERVIEW-FIRST EXECUTION INCLUDED INSIGHT ONLY Celonis logs in, dashboards out Consultancies people in, slides out Klarity maps + recommendations Beam interviews in, running agents out
Draw this on a whiteboard in the meeting — the empty top-right quadrant makes the argument for you. Horizontal: how the process knowledge gets in. Vertical: whether the engagement ends in insight or a running automation.
Log-based process mining
The process mining market leader. Reads event logs from SAP/ERP/CRM systems to reconstruct and analyse process flows. Many large enterprises already own it.
Where they're strongBrand and analyst standing, deep SAP integration, solid when the process lives inside well-instrumented systems that log every step.
Where we winThey only see what systems log — decisions, workarounds and cross-system work are invisible. Integration takes months before the first insight. Output is analysis; automation is still someone else's project. Not built to feed agents.
A line that works"Celonis tells you a claim sat open for 50 days. We tell you why — and hand your engineers the blueprint to fix it. If you already run Celonis, that data can feed our cockpit. Nothing is wasted."
Plant this question"How do they capture the process knowledge that never hits an event log? And how long did integration take before you saw the first insight?"
If the prospect is happy with Celonis, don't fight it — sell the discovery + agent layer on top. The complement story closes; the replacement story stalls.
Klarity Closest direct competitor
US platform, "Transforming Transformation." Captures processes from screen recordings, videos and AI interviews, builds a process map ("context graph"), and recommends improvements with ROI estimates. Marquee logos: DoorDash, Stripe, ServiceNow.
Where they're strongNearly identical capture motion (AI interviews + screen recording), fast SOP generation at scale, strong US enterprise logos, deep finance & accounting heritage.
Where we winTheir engagement ends in a map and recommendations; ours ends in a running agent. Runbooks carry training and test data into Beam's own agent platform — discovery and execution are one motion, no handoff. Plus European enterprise fit: private deployment, granular data controls, works-council-aware delivery.
A line that works"Mapping is where they stop. It's where we start — the first process is running on AI before the engagement ends, on the same platform that mapped it."
Plant this question"After their analysis, who builds and operates the automation — and on whose platform does it run?"
Their site also claims agent-building. Expect that counter; hold the line on native execution — our agent platform is the product, not a service bolted on. Validate this wedge in the first live deal against them.
Consultancies Accenture, Big 4, boutiques
People-powered process documentation and AI transformation programmes. Often already inside the account with board-level trust.
Where they're strongExecutive relationships, delivery capacity, industry benchmarks, and the safety of a name nobody gets fired for hiring.
Where we winSpeed and cost: weeks and €50K versus months and seven figures. And permanence — consultant knowledge leaves with the consultants; our map lives in the client's hands and keeps updating. A deck describes the work; our twin runs it.
A line that works"A consultancy rents you analysts. We leave you a living map your own team operates — with the first automation already running when we're done."
Plant this question"When the engagement ends, where does the process knowledge live? And what does it cost to keep the deck current next year?"
Consultancies can also be channel, not competition — if the prospect's consultancy is in the room, position us as the tool their programme runs on.

#05 ROI math for defending €50K

Anchor on their numbers, not ours. The pattern from the Prudential call: pick one process they know is slow, quantify the delay, price the delay.

Worked example — receivables (the one that landed at Prudential)
Invoices sit open today~50 days
Realistic reduction once the process is understood and automated10–20 days
On €10M annual receivables, cash freed up€270K–550K
Engagement cost€50K, fixed

The architect's phrasing, reusable: "If we can reduce it by ten or even twenty days, that has real cash value to the business." The €10M figure is illustrative — always swap in the prospect's own volume. Cash-freed estimate = receivables × (days saved ÷ 365).

Three anchors to price against

Alternative the prospect knowsWhat it costs them
Process-intelligence platforms (enterprise contracts)Six figures per year, before integration effort
Consulting-led process documentationMore than €50K for a static report that ages immediately
Doing nothingTheir top-10 processes keep leaking hours — the cockpit quantifies it per process in the first weeks

#06 Who to sell to, and who blocks

Person in the roomWhat lights them upLead with
CIO / Chief Architect The ontology. "I have not seen anything like this" came from exactly this persona. Screen 1, plain-English queries, no-integration entry
COO / Transformation lead The ranked automation queue — finally a fact base for where to start. Screen 4, the 10-process ROI overview deliverable
CFO Payback. Cash examples, fixed price, no open-ended consulting meter. The receivables math, €50K fixed
Process owners Being heard. Their workarounds finally documented — and a product that adapts to their feedback weekly. The interview experience: one hour a week, their words

Known blockers

#07 Qualification: the design-partner funnel

Every prospect runs through the same funnel, and "not a design partner" is a routing decision, not a rejection. Source: Strategic Development Partner Evaluation Framework (Chris Fennell, 3 July 2026), adapted for sales use.

1 · Gate hard 4 yes/no questions 2 · Score survivors strategic 50% · technical 50% 3 · Adjust for risk 4 flags that cost points 4 · Verdict build · maybe · sell-to

The four gates (pass or stop)

Yes/no. One "no" stops the design-partner conversation — no score rescues a failed gate.

GatePass looks likeDisqualify
G1 · Executive mandate & vision CEO/founder personally says "go do it," sees the vision, will champion it Middle-manager pet project, no exec air cover — "a side project with no weight"
G2 · Leadership stability & capital Stable C-suite, budget set aside, understands this is a 1yr+ journey Restructuring, "headless," no committed budget, likely to defund midway
G3 · Mutual commitment & capacity Their sponsor and our team both have the in-room bandwidth, sized and agreed upfront Open-ended "we'll find time" — on either side
G4 · Expected output & reason to do it A clear productionised output they walk away with, and a payoff big enough to endure for Vague deliverable, "legibility" that doesn't move their business
Failed gate ≠ dead lead A company that fails G1 or G2 is a sell-to target — bring them the finished product later through the standard pipeline. Track them, don't co-build with them. The funnel routes prospects; it doesn't discard them.

Discovery-call questions, mapped to gates

What surfaces it on a callProbesPass signal in the answer
"Who owns this decision — and have they personally said go?"G1A named CEO/C-level champion, already engaged
"Is there budget set aside, and is leadership stable enough for a year-plus journey?"G2Committed budget, no restructuring underway
"Can three process owners give an hour a week, with a sponsor protecting that time?"G3Yes, without friction — the capacity is real
"What would you need to walk away with for this to be a clear win?"G4A concrete output and payoff in their words, not ours
"How documented are these processes today? Where does the data live?"T2/T3Honest answer either way — it sets the technical score, not the verdict
"Have you built with AI agents before? Who would work with us on your side?"T1/T5Named engineers or AI team, some agent experience

Scope guidance for the first build

Department-by-department, additively Bound the first build to 1-2 departments of a mid-sized, forward-leaning org — map one department, prove the concept, then extend. Whole-org-at-once is the ideal output but unrealistic as a first build. And reject the "productionised in 4 weeks" framing when a prospect pushes for it: it forces the half-baked-demo failure mode.
Scoring the survivors — the full partner scorecard

For prospects that clear all four gates. Two lenses, equal weight, and a candidate must be credible on both: a strong brand with weak engineering fails, and strong engineering with no exec mandate fails. The weights are directional, not precise — the framework is untested against real deals, so log every scored candidate so they can be tuned against outcomes.

Strategic lens · 50%5 — green flag1 — red flagWt
S1 · Access / network effectLarge network, bench or platform we gain access toClosed; no leverage beyond the single deal12%
S2 · Industry-coverage fitOpens a new, wanted vertical; ontology reusable across itDuplicates a covered vertical, or one nobody values12%
S3 · Partner upside (their 10x)Clear, large payoff — enough to invest and endure"What's in it for them?" unclear12%
S4 · Brand value (risk-adjusted)Reputable, brand-safe name that opens doorsReputational risk, or so big they'd build it themselves8%
S5 · Ambition & altitudeVisibly ambitious, AI-native mindsetDistracted, reactive, low-altitude6%
Technical lens · 50%5 — green flag1 — red flagWt
T1 · Engineering bench on-handProcess, API and AI engineers ready and willing nowNo internal capacity — we'd staff it ourselves14%
T2 · Process documentation maturitySOPs and process maps documented, ready to uploadUndocumented tribal knowledge only10%
T3 · Data legibility & modern stackConsolidated data; been through a digital transformationSiloed data, legacy walled-garden ERP10%
T4 · Open, API-first, composableAPI-first, event-driven, leadership driving open systemsClosed architecture, no APIs10%
T5 · Agentic maturity6-12mo+ of agent builds, internal AI specialistsZero agent experience6%

Brand note from the source framework: while the concept is young, brand is upside, not a gate — keep partnerships quiet until proven, and don't over-weight a logo.

Risk modifiers (no points, quiet deductions)

ModifierPreferPenalise / flag
R1 · Size of the elephantMid/small org or one bounded department — small ontology, fast proofMega-enterprise scale → a 5-year map even with the best people
R2 · Compliance burdenLow regulatory drag — map and record freelyHeavily regulated (betting, banking) — mapping and recording get blocked
R3 · IP / vendor riskWon't compete with us; strong contractual IP protectionConsultancy/vendor likely to copy the IP and resell it
R4 · Digital-first bias checkVerify the assumptionDon't auto-assume only digital-first brands are "legible"

Per-candidate scorecard template

Candidate: ______________________

GATES     G1 exec mandate ...... PASS / FAIL
          G2 stability ......... PASS / FAIL
          G3 mutual commitment . PASS / FAIL
          G4 output & reason ... PASS / FAIL   → any FAIL: stop, route to sell-to

STRATEGIC (50%)                    score 1-5 × weight
  S1 Access / network .......... [ ] ×0.12   S4 Brand (risk-adj) .. [ ] ×0.08
  S2 Industry-coverage fit ..... [ ] ×0.12   S5 Ambition .......... [ ] ×0.06
  S3 Partner upside ............ [ ] ×0.12

TECHNICAL (50%)
  T1 Engineering bench ......... [ ] ×0.14   T4 Open / API-first .. [ ] ×0.10
  T2 Process docs / SOPs ....... [ ] ×0.10   T5 Agentic maturity .. [ ] ×0.06
  T3 Data legibility ........... [ ] ×0.10

RISK      R1 size [ ]  R2 compliance [ ]  R3 IP/vendor [ ]  R4 bias [ ]

VERDICT:  ⬤ Build partner   ◐ Maybe / conditional   ○ Sell-to only

#08 Deal mechanics

StageWhat happens
1 · Discovery call (30 min)Their pain, one messy process, and the four gates from #07: exec mandate, stability & budget, real capacity, a concrete output they want. One "no" → route to the sell-to pipeline, not the co-design offer. Show screens 1 and 4 only if asked.
2 · Live demo (45–60 min)The four-screen playbook from #02, with their stakeholders in the room.
3 · Scoping sessionSelect the ten candidate processes together, name the three process owners, start the security checklist.
4 · KickoffWithin ~2 weeks of signing. Interviews start week one.

What we need from the client to start

Negotiation guardrails

Rollout pricing after the engagement and payment terms are not yet defined — hold the guardrail lines above when pushed. The 8-week schedule and the "everything stays yours" ownership stance in the offer doc are working assumptions Aqib has not yet confirmed. Escalate before deviating from any of them.

#09 Proof points

From a June 2026 call with the Chief Software Architect of a Fortune 500 insurer. Pending clearance — confirm with Aqib before quoting externally; safe to paraphrase in conversation.

"I have not, frankly, seen anything like what you just showed."
On the ontology view — Chief Software Architect, Fortune 500 insurer
"Large enterprises have tons of processes they don't understand that they want to layer AI into. You're giving them the tools to figure that out."
On the category — same call
"I like that approach better than the approach that says we need to install a bunch of integrations on client systems, which no enterprise wants to let you do."
On interview-first discovery vs. integration-first mining — same call
"The stuff that you showed at the end generates more excitement than I think you guys even know."
On the cockpit — same call

Additional signal usable in conversation (not as a quote): a major North American insurer validated the core problem to us directly — they do not understand their own processes well enough to deploy AI confidently.

#10 Open gaps in this playbook

GapOwner / status
Rollout pricing + payment termsAqib — define before first design partner signs
8-week schedule + "everything stays yours" ownership stanceAqib — drafted as working assumptions in the offer doc, confirm or correct
Quote clearance for external useAqib — currently paraphrase-only
Security certifications & sub-processor list as a sendable one-pagerOpen — reps currently promise "written answers" without an artifact
Battlecard wedges (#04) at feature levelv1 shipped for Celonis, Klarity, consultancies — validate in live deals, especially the Klarity agent-building counter
Process Discovery · Internal Sales Playbook · v1 Sources: Prudential architect call notes + founding-team thread (June 2026), discovery-call voice memos (July 2026), partner evaluation framework — C. Fennell (July 2026)
Contents
#01 The pitch #02 Demo playbook #03 Objections #04 Battlecards #05 ROI math #06 Personas #07 Qualification #08 Deal mechanics #09 Proof points #10 Open gaps