BlackLine · VP, AI & Automation · CEO final

Make Owen see an operator, not a presenter.

This room is about company judgment. Show that you can turn the AI-first ambition into changed work, measurable economics, and trust that helps BlackLine grow.

Owen Ryan · Chairman & CEO Wednesday, Aug 26 · 9:30 AM PT Executive final Formal, calm, concise
Your thesis: BlackLine has an unusual opportunity to make the internal AI program strengthen the external promise. I know how to turn company ambition into a finite portfolio of changed workflows, Finance-validated results, and reusable operating capability.
Delivery rule
Answer → mechanism → proof → stop
01

What Owen should say after the call

Work backwards from these three judgments. Everything else is evidence.

“He connects AI to the outcomes I run the company on.”
In the room: say the business measure before the technology.
“He is decisive, honest, and easy to work through a hard problem with.”
In the room: make one call, give one tradeoff, stop.
“He will strengthen the leadership team and what we have already built.”
In the room: name the function owner and existing partner, not a new central empire.
Hard truth: Sumit already named the risk—executive presence. Another long, technically complete answer can still lose this. Your expertise is established. Your control of the room is what remains to prove.
02

Read Owen's current lens

These are public signals, not a claim about his private scorecard.

GrowthQ2 revenue grew 9.2%. BlackLine is guiding to $765M–$769M for 2026 while expanding operating margin.
MonetizationOwen says Verity usage is driving both platform conversion and the start of direct agentic revenue.
ConstraintCustomer deal timing is noisier because AI evaluations are more rigorous. Proof, cost predictability, and trust matter commercially.
ControlHis public stance is that CFOs can use AI at scale only when they can independently validate outputs.

Can the internal program become credible customer-zero evidence?

Show internal transformation that produces requirements, controls, adoption learning, and measurable outcomes without hijacking the product roadmap.

Can you turn “AI-first” into operating performance?

Owen is unlikely to need another AI vision speech. He needs finite priorities, accountable owners, economics, and repeatable execution.

Will your control posture enable speed?

Trust is part of the growth strategy. Speak about proportional control and independent validation, not a larger policy catalog.

03

What Jeremy handed to the CEO round

The transcript makes the handoff concrete. These are private conversation signals, generalized here without internal names, volumes, or implementation detail.

No artificial AI metrics

Jeremy has been careful with the board: AI value must connect to the measure the business already runs, not a separate activity score.

Product enablement is falling behind product velocity

He wants customer-facing teams to understand the right product change for the live opportunity without waiting for a periodic enablement cycle.

Data and AI are one operating problem

The opportunity spans enterprise context, telemetry, governed systems of record, and permission-aware agents. The access model is part of the product.

Speed with the right controls

Legacy review processes, Procurement, and InfoSec can slow change. Jeremy wants reusable controls that let the company move faster, not perfection by default.

Internal Finance work can inform product incubation

The internal program can surface real requirements and operating evidence. Product and Technology still own the productization decision.

You matched the problem in the room

Your strongest callbacks were business-metric ownership, the daily decision cadence, hands-on agent learning, and a sales workflow reduced from thirty minutes to about five.

CEO implication: do not repeat the technical conversation. Show Owen the company decisions behind it: which outcomes matter, which operating barriers he wants removed, and where he expects this leader to push for speed.
04

The CEO-level operating thesis

Do not recite four pillars. Give Owen the decision path.

01 · Outcome
Choose the business result

Revenue, margin, close speed, cash, control quality, or risk.

02 · Work
Redesign the workflow

Name the function owner, human judgment, system action, and exception path.

03 · Evidence
Prove what changed

Baseline, counterfactual, full cost, quality, adoption, and Finance validation.

04 · Decision
Scale, revise, or stop

Reuse the learning so the next workflow starts ahead.

Your spiky point of view: AI transformation is not the number of tools deployed. It is the number of important workflows that changed, moved a business measure, and became safer and easier to repeat.
05

Open in 45 seconds

“I have spent my career turning data and AI into a different way of running the business. At Alexa, I learned how to change customer behavior at scale. At Opendoor, I built decision systems across a roughly $5 billion run-rate business. One helped weekly acquisitions move from about 250 to 500. Another reduced 1,400 dashboards to 15 trusted sources and gave leaders faster answers.”

“BlackLine is compelling because your internal opportunity and customer promise reinforce each other. The role can turn AI-first into measurable operating change inside the company, then feed real requirements and proof back into how BlackLine wins with CFOs. That is the company-level mandate I want.”

Stop. Let Owen choose the next thread.

Resume chronology

Owen does not need every chapter. Give the arc, two proofs, and the BlackLine decision.

Turnaround attribution

Do not connect yourself to Opendoor's company loss or cash-flow trajectory.

Company mandate

Internal changed work, external customer proof, durable value.

06

CEO answer bank

The first paragraph is the answer. The second is optional depth. Never finish a script after Owen has moved on.

“Why do you want this role now?”25 sec

“Because it is the full version of work I already do: choose the business problem, build the decision system, change the workflow, earn executive trust, and prove the result.”

“I am not moving away from Data and AI. I am taking responsibility for the operating change they should create. BlackLine has the sponsorship, product assets, and business moment to do that at company scale.”

No generic career ambition
“What should this role accomplish in year one?”35 sec

“By the end of year one, I would want two or three material workflows with Finance-validated outcomes, a clear stop list, and one repeatable path from idea to supported production.”

“The proof is not only the lighthouse result. It is that the next function can reuse the intake, data access, controls, evaluation, and support model instead of starting over.”

Do not promise ten transformations
“How would you choose the first bets?”30 sec

“I would rank workflows on business value, readiness, control burden, and time to evidence. I want an executive outcome owner, a measurable baseline, and a process stable enough to redesign.”

“I would choose one visible lighthouse and one less glamorous workflow that proves repeatability. I would stop ideas that have enthusiasm but no owner, measure, or credible route to production.”

The stop list is executive judgment
“How do you measure AI ROI?”30 sec

“I use the measure the workflow already owns: close speed, accuracy, collections, revenue, cost, or risk. Jeremy made the same point about the board: AI should influence a business measure, not create an artificial one beside it.”

“I want the baseline, a credible comparison, the full cost, and Finance agreement on what changed. Usage tells me whether the new way is being used. If the business measure does not move, we revise or stop.”

Proof only if asked: acquisition operating system
“How should the internal program help the product business?”35 sec

“The internal program should be a demanding customer zero, not a competing product team. Jeremy described a real incubation opportunity where internal Finance workflows can expose requirements, controls, adoption learning, and operating exceptions.”

“My team should own the internal outcome. Jeremy and Product should decide what belongs in the platform, so enterprise-specific work does not become a disguised product backlog.”

Internal outcome owner, not product owner
“How do you move fast without creating risk?”30 sec

“I separate the place where teams learn from the place where systems act. Teams get a safe sandbox. Production gets one clear path with evidence, access control, an owner, monitoring, and recovery proportional to the consequence.”

“Jeremy named the real constraint: Procurement, InfoSec, and legacy review processes can make every team renegotiate the same controls. The fastest model is a reusable approved path.”

Control is the paved road
“How do you get leaders to change how their teams work?”35 sec

“I make the function leader the outcome owner. My team can bring the method, platform path, and measurement, but the function owns the workflow and the released capacity.”

“We start with a result that matters to that leader, protect builder time, redesign the real exception path, and review the business measure in the existing operating cadence. Adoption follows useful changed work.”

Do not lead with training
“Tell me about a company-level change you led.”60 sec

“I helped move weekly home acquisitions from roughly 250 to 500 by changing the operating system around the decision. The company had a board-visible gap and more than 25 proposed initiatives. I built the bridge model and daily decision cadence that narrowed the portfolio to five real levers.”

“When one lever broke after a Sales reorganization, I made the call to replace it rather than defend the original plan. The broader program supported more than $200 million in incremental GMV. The earned lesson is that transformation is a finite portfolio of decisions, not a long list of projects.”

Say “supported,” not “AI caused”
“What have you learned from a failure?”45 sec

“I let a production workflow depend too heavily on one person. When that person left, it failed. The technology worked; the operating model was fragile, and I owned that.”

“I changed the contract to team-owned access, manager approval, team alerts, a named service owner, and a support path that survived employee departure. A workflow is production only when ownership, monitoring, and recovery survive the builder.”

No confidential tool or policy detail
“What is your leadership style?”30 sec

“I set a clear outcome and a high bar, then push decisions close to the people who have the best context. I want leaders to know what they own, which decisions they can make, and when to escalate.”

“My job is to make the standard observable and fair, remove cross-company friction, and step in quickly when the result or the trust floor is at risk.”

Proof if asked: five pods or performance call
“You have adjacent Finance experience. Why you?”30 sec

“I have not led corporate accounting, and I will not pretend otherwise. I bring the transformation layer: portfolio choices, data and technology judgment, workflow redesign, decision rights, adoption, and measurable outcomes in a public-company environment.”

“I would pair that with BlackLine's accounting expertise. The role should convert that expertise into changed work, not substitute for it.”

Honest bridge, no apology
“What would you need from me?”25 sec

“Clarity on the two business outcomes that matter most, visible sponsorship for function ownership, and air cover for stop decisions.”

“I would not ask you to sponsor every project. I would ask you to reinforce the operating contract: the function owns the result, the control floor is real, and we scale only what produces evidence.”

CEO sponsorship, not CEO dependence
07

Three proofs are enough

Owen may already have an internal debrief. Give the result and your decision; expand only when he asks.

CEO questionPrimary proofFirst sentenceFact lock
Can you create company value?Acquisition operating systemPortfolio choice + daily decision cadence“I helped move weekly acquisitions from roughly 250 to 500.”The broader program supported more than $200M incremental GMV. AI alone did not cause it.
Can you create trust and adoption?Trusted self-serviceReduce the decision surface before changing the interface“We reduced roughly 1,400 dashboards to 15 trusted sources.”Accuracy moved about 60% to 90% on trained questions; monthly usage about 300 to 800.
Can you build durable operating capability?Five mission-aligned podsDecision ownership close to the business; shared standards centrally“I kept leaders close to the decisions while standardizing the common data and operating layer.”Three leaders were promoted. Do not imply a plan to centralize BlackLine.
Reserve: can you own failure?Service-account repairIndividual dependency → team-owned production contract“The technology worked; the operating model was fragile, and I owned that.”Generalize the incident. No named tools, employer policy, or security detail.
Freshness rule: you have used several of these stories across the BlackLine loop. Owen does not need a brand-new story if he asks about a known signal. He needs the compressed CEO implication: result, personal decision, what BlackLine gets.
08

Neutralize the four concerns

Executive presence

Direct answer: “The feedback is fair. I can go deep, and in an executive room my job is to make the decision clear. I have changed the rule: answer, one mechanism, one proof, stop.”

Prove it behaviorally. A speech about becoming concise defeats the answer.

Direct Finance-transformation depth

Direct answer: “I have not led corporate accounting. I bring the transformation operating system and will pair it with BlackLine's accounting authority.”

Never blur the gap. Honest adjacency is stronger than inflated domain ownership.

Will you compete with Product and Technology?

Direct answer: “No. I would own the internal outcome, adoption, and value. Product and Technology own the platform and productization boundary.”

Name the partner. Jeremy, Sumit, Jill, Cam, Joshua, and function owners already have roles.

Claim and confidentiality control

Direct answer: use only locked numbers and generalized incidents. If a number is not needed, omit it. If a confidential detail is not yours to share, say the principle.

Credibility compounds. One clean boundary can strengthen the whole interview.
09

Ask Owen what only Owen can answer

You will likely have time for two. Follow the conversation instead of running a list.

“Which two company outcomes would make you call this hire a success after one year?”

Gets the CEO scorecard and lets you respond to the actual mandate.

If asked back: two or three material workflow outcomes, one repeatable production path, and evidence that internal learning helps the external business.

“As Verity begins to drive platform conversion and direct revenue, where could the internal program create the most useful customer-zero evidence?”

Connects the role to Owen's current business story without claiming the internal team owns product strategy.

If asked back: requirements, control evidence, exception patterns, adoption learning, and Finance-valid results.

“Jeremy described speed with the right controls as a company constraint. Where do you most need this leader to remove operating friction—and where would moving faster create unacceptable risk?”

Turns the CTO's problem into the CEO's decision-rights question.

If asked back: diagnose portfolio, ownership, production path, or review friction before prescribing.

“Where do you want this leader to challenge the executive team directly, and where is alignment and execution more important?”

Tests decision rights and shows mature followership.

If asked back: challenge on outcome, evidence, resource tradeoff, and risk; align once the decision is made.
Avoid: “What keeps you up at night?”, broad culture questions, or a technical Verity question Jeremy could answer better. Owen's scarce value is company direction and leadership contract.
10

Close the loop

“Owen, I am very interested in the role. Before we wrap, is there anything you have heard today—or in the process—that would keep you from trusting me with this mandate?”

Hold silence. Do not rescue him from the question.

Answer once.

  1. Acknowledge: “That is fair.”
  2. Answer: one direct sentence.
  3. Prove: one fact-locked example.
  4. Bound: one honest limit if needed.
  5. Stop.
11

Pressure rehearsal

If this does not advance, the likeliest reasons are:

  1. You taught Owen AI. Prevention: start with the company decision and economics.
  2. You answered for two minutes because he stayed quiet. Prevention: silence is not permission to continue.
  3. You sounded like a central platform owner. Prevention: own outcomes; respect product, control, application, and function ownership.
  4. You blurred a number or confidential incident. Prevention: fewer facts, fully controlled.
  5. You missed the concern close again. Prevention: ask it before the meeting ends, even if only one minute remains.

You know the risks. Now go have the conversation.

Low heart rate. Literal answer. One useful proof. Let Owen see what it feels like to run the company with you.

12

Fifteen-minute day-of card

Turn AI-first into changed work, measurable value, and customer-zero proof.

Calm company operator

Warm, direct, curious. You do not need to perform urgency.

Answer → mechanism → proof → stop

If sentence one does not stand alone, restart.

  • Acquisition operating system
  • Trusted self-service
  • Five mission-aligned pods
  • Turnaround causality
  • Unreconciled Voice AI claims
  • Named security incidents

Which two outcomes define year-one success?

Then answer the mandate Owen actually gives you.

Internal program → customer-zero evidence

Requirements, controls, exceptions, adoption, results.

What would keep you from trusting me?

Ask. Hold silence. Answer once.

10-minute warmup: say the opening once; answer one random drill; rehearse the executive-presence concern; read the three fact locks; breathe with a long exhale; join early. Do not add new material.
13

Source and claim ledger

Public facts were refreshed on August 25, 2026. Interview predictions are informed preparation, not insider process knowledge.

Public BlackLine and Owen Ryan sources
Official bioOwen Ryan biography — Chairman and CEO; Deloitte Advisory, AEGIS, Geller, board, and CPA background.
Q2 2026Second-quarter results — revenue, margin, ARR/NRR, platform conversion, Verity revenue, customer evaluation, and outlook.
CEO POVBeyondTheBlack Paris highlights — data, context, agency, and the relationship between more AI and more trust.
Official AIAgentic Financial Operations launch — CFO accountability, independent validation, glass-box control, and AI Innovation Hub.
SECQ2 2026 Form 10-Q — financial and risk disclosures.
Private candidate evidence used
  • Canonical BlackLine role context, positioning, pipeline state, and interviewer map.
  • Kim Smith, Sumit Johar, Joshua Flood, Jill Knesek, Cam Kim, and Jeremy Ung round materials.
  • Full August 24 Jeremy Ung CTO conversation transcript, used for generalized private-signal synthesis. Internal system names, volumes, and implementation details are excluded from the public page.
  • BlackLine coaching scores, executive-presence feedback, and company-pattern notes.
  • Locked candidate stories for acquisition, trusted self-service, five pods, and the service-account failure.
Confidence boundary: Owen's biography, company remarks, and investor statements support the lens in this packet. They do not reveal his private interview questions. Candidate outcome figures follow the repo's fact locks and should not be expanded from memory.