A companion, not a replacement.
The Ascent parable ships with a rehearsed, beat-by-beat presenter script in EN and DE, bundled in this pack. This guide is the Wave 1 sales-play layer on top of it — the outreach choreography, persona-to-beat pairing, the turn to the AI Maturity Model, the claim discipline, and the workshop hand-off that the base talk track doesn't cover.
Before the meeting · Persona-tuned outreach
Goal: Use the Executor's persona essay to identify which layer the prospect is publicly addressing, then send a parable-anchored cold outreach. The Executor is not a "sales assist" — it is the discovery layer that determines where in the base talk track to focus.
✉Sequence — Executor first, meeting second
- 01Open the AI Strategy Executor (executor.html). Paste prospect signals. Run Stage 1 to produce the persona essay.
- 02Read the essay's "Public gap" line — this tells you which of the 4 layers to open the conversation on. Almost always it is Knowledge or Translation for CDOs; Agentic for CAIOs; the full stack for Architects.
- 03Run Stage 2 to produce the outreach and send it with the parable link — the parable is the asset that travels. The Executor also anchors on the hosted model at aim.uderia.com, which the prospect may open to self-orient; never attach the model file, and never forward another customer's assessment.
- 04The meeting then opens with the customer already carrying the story — a named summit, a route made of camps, and a wall they cannot yet locate. That last part is exactly what the turn resolves, and it changes how hard each beat has to work.
🎯Persona → base talk-track beat pairing
▶Cue — what to test before the meeting
why-the-ascent-talktrack.html and why-the-ascent-talktrack-de.html. If the prospect is DACH-based, default to DE unless they wrote back to your outreach in EN.?Ask the Executor essay first
- Which layer(s) does the essay identify as this persona's publicly active concern? — This is where you start in the base talk track.
- Which layer(s) does the essay identify as their public gap? — This is where the base talk track will surprise them, and where the 2-hour workshop earns its keep.
- Does the essay identify a memorable public phrase (keynote quote, LinkedIn post) you can quote back verbatim? — If yes, open the meeting with it before you start the parable.
🔀Cross-play routing signals
During the meeting · Working the base talk track
Goal: Run the base talk track naturally — but use these Play-specific pauses, questions and interaction cues to make the story land as a conversation about their journey rather than a lecture about a mountain.
◉Beat-by-beat pairing with the base talk track
▶Live discipline cues
why-the-ascent.html (live), why-the-ascent-talktrack.html (your script), dist/AI_Maturity_Model-viewer-plus.html (for the turn — and not before).?Ask between base TT beats
- After Beat 1: "Which of these three moves — data-first transformation, agentic AI, or governance — is the loudest on your board agenda right now?"
- After Beat 3: "If you had to name the camp you are standing on today, which is it — and who in your organization would disagree with you?"
- After Beat 5: "When an AI program of yours has stalled, was it ambition that ran out — or was it something structural that nobody had named in advance?"
⚠Objections the base script doesn't cover
🔀Mid-meeting routing cues
The turn · From the mountain to their estate
Goal: Hand off from the parable to the AI Maturity Model — six levels, four layers, 27 requirements, and a level computed from the customer's own ratings. Then, and only then, the answer: this section holds the only moment a product is named, and every claim spoken here is one the model can put on screen.
◉The four layers — the estate's version of the gear at each camp
- L1Knowledge Layer · 7 requirements. Unified storage, vectors, metadata and lineage, catalog, graph, industry schemas. Owner: CDO · Enterprise Architect. Without it, agents work on data dumps rather than enterprise knowledge.
- L2Translation Layer · 6 requirements. Semantic layer, ontology, reusable business logic, grounding against hallucination. Owner: CDO · Head of Data. This is the layer that gates The Wall — say that once, here, and let tab 1 prove it.
- L3Agentic Layer · 7 requirements. Agent building and orchestration, tool protocols, memory, evaluation and observability. Owner: Chief AI Officer.
- L4Policy Layer · 7 requirements. Embedded governance, AI guardrails, agent identity, FinOps controls, regulatory frameworks, sovereignty. Owner: CISO · DPO.
◉Working the model — tab by tab, their ratings only
- 01AI Maturity Model (tab 1) — the six levels. Walk only Level 2 → Level 3: that is where the model marks The Wall, and it is a role change, not a bigger budget — the machine goes from executor to bounded decider, the human from workflow designer to supervisor and approver. If the room is DACH, flip EN/DE in the header before you start.
- 02AI Architecture Vision (tab 2) — the four layers. Open only the layer the Executor essay flagged, click it, and let the inspector speak. Coverage is demonstrated, not recited.
- 03Requirement Mapping (tab 3) — all 27 across the six levels. Use the Industry lens in the header: it covers eleven industries plus generic, and reframing the same 27 requirements in the customer's own language is the fastest credibility move in the tool.
- 04Self-Assessment (tab 4) — rate live only if the room asks for it; otherwise show the rubric and hand off to the workshop. When you do rate: the level is a gate, the gap chips name the exact requirements between them and the next level, and anything nobody rates stands at Not in Place. The maturity percentage on that panel is a progress ring — do not read it aloud, and never let it become the finding.
- 05Roadmap (tab 6) — sequences their mapped use cases into milestones, building each requirement once and letting later use cases run in parallel on what earlier ones already delivered. This is the artefact the workshop produces.
◉The answer — the only place a product is named
- 01One platform, four layers.
Teradata Autonomous Knowledge Platformanswers at every layer of the architecture rather than at one of them. Read only the layers the customer named. - 02Turn the Technology toggle on, in the header, in front of them. It ships off — switching it on when asked is the whole design. Each of the 27 requirements then shows the Teradata technology that delivers it, with a note on how.
- 03The Capability toggle maps each requirement onto the Teradata Capability Model. Use it with architects; skip it with the CDO.
- 04Turn both off again before you close. The last thing on screen should be their gap list, not our product column.
!Claim discipline — do not slip
?Ask at the turn
- "Of the four layers, which has your organization invested in most heavily — and which one has been hardest to fund?"
- "Of the 27, if you had to name the five your team is weakest on, could you do it right now?"
- "When we rate this properly, who will disagree loudest — and about which layer?"
⚠Anticipated objections
After the meeting · Workshop or follow-up loop
Goal: Convert the meeting into a scheduled 2-hour AI Maturity Assessment workshop with named participants, and run it. If it doesn't close on a date, run the follow-up loop back through the Executor. Either way: the parable link is the only asset you send — the model is used live, never distributed.
◉Path A — the meeting closed on a workshop date
- 01Same day. Send a calendar hold with the parable link — that one asset, nothing else. Say: "Ask your team to walk the story before we meet; it makes the workshop twice as productive."
- 02Day 3. Send one specific requirement — from the 27 — that connects to something they said in the meeting. Do not send product decks, and do not send the model: it is run live, with you in the room.
- 03Day 7. Confirm participants. Insist on their most engaged CDO / CAIO / Head of Architecture plus one skeptic. The skeptic is what makes the result credible inside their organization.
- 04Day of workshop. Run the Self-Assessment together, live. Then one use case through the Use-Case Studio. Then the Roadmap. Two hours flat — the flow is below.
◉The 2-hour workshop flow
- 00–15Framing. Skip the parable — they have seen it. Set the stakes: "By the end of these two hours you will have a scored self-assessment against 27 named requirements, one use case mapped to the six levels, and a written implementation roadmap. Nothing committed."
- 15–75Self-Assessment (60 min). Rate all 27 together. Let their team disagree with each other — that is the value. Use Save as version at the midpoint so they can see how the score moved as the debate ran.
- 75–105Use-Case Studio (30 min). Take their most-cited use case and map it. Let them see the distance between what they rated and what the use case actually needs.
- 105–120Roadmap (15 min). Walk the generated roadmap and show where use cases inherit each other's requirements — each requirement built once. This is what they take back.
◉Path B — the meeting did NOT close on a date
- 01Same day. Do not send "let me know when to reschedule." Send the parable link plus one requirement, from the 27, that their own words flagged.
- 02Day 3. Return to the AI Strategy Executor and regenerate Stage 2 with the Follow-up (Day 3) variant. Include a memorable quote from the meeting itself — the Executor will weave it in.
- 03Day 7. Send one paragraph from The Ascent as a quote — the crux beat works best. No link. Force a reply.
- 04Day 14. Route through the internal partner network. If they have not replied they need a different door — usually a peer, or their boss's boss.
▶Workshop and follow-up guardrails
-viewer-plus) has its Export control removed; ratings live in the browser as named versions instead. Open the workspace panel and look before the workshop, and if Export is absent, promise named versions plus a walked roadmap, not a file. If a customer must leave with a file, raise the edition question internally first.Teradata Autonomous Knowledge Platform. Never AI Factory, Artemis, AI Workbench, or ClearScape Analytics (as a product name). In-Database references say "features included in Teradata Database."◉Hand-off to the paid engagement
- ASKClose the workshop with the ask: "The five requirements you scored lowest — plus the use case we mapped — are exactly what the 3-month AI Services engagement addresses. Two weeks to scope it. Ready?"
- HANDThe roadmap they built is the scope document. Both the 3-month AI Services Base Offering and the 12-month Strategic Roadmap are sourced from it — not from a proposal you write afterwards.
- NO?If they are not ready: "Take the roadmap back to your team. Thirty minutes in two weeks, with any three of them, and let's talk about what changed."
?Debrief with yourself
- Which of the four layers did the customer's language actually concentrate on? Was it what the Executor essay predicted? If not — update the essay in your notes.
- Did they volunteer a level for themselves? Write down the exact words. That sentence opens the workshop.
- Which routing signal did they trip — Policy language (Sovereignty), P&L language (ROI), an existing assessment (calibration)? Even weakly.
- What was the memorable phrase from this meeting that becomes the Day-3 hook? Write it down before you forget it.
🔀Post-meeting hand-off matrix
The base talk track is the storyline. This guide is the sales choreography. Outreach → story → the turn → workshop — every level the customer's own, every claim one the model can show.
🎯 What "landed" looks like
The customer volunteers which layer they're weakest on. They ask who else on their team should see the Maturity Model. They accept two dates for the 2-hour Assessment workshop before you leave the room.
🛑 What "did not land" looks like
The customer engaged with the layers but did not volunteer a level. They asked for the deck. → Do not push. Send the parable link, loop back through the Executor with a Day-3 follow-up, and try again in two weeks.
📄 Companion assets in order
1. executor.html — persona-tuned outreach.
2. Base Talk Track EN · DE.
3. Interactive Maturity Model — opened at the turn, used live.
4. Landing page — the sales-play landing page.
🎯 Discipline you must never break
Analyst-grounded, not marketing. Never fabricate a level for the customer — the model returns the one their ratings imply. Never call the Maturity Model a "framework we developed" — it is analyst-derived (Forrester, Gartner, IDC). Never attribute an individual requirement to a research firm — the sourcing is framework-level, and the model's 27 descriptions carry no attributions by design. Naming per Guide D044422.