LilySuite — Honeywell International (HON)

Account Snapshot

Illustrative

Fabricated sample data — how an account team might frame ownership, stage, and pipeline.

Account Tier

Tier 1

Strategic / Named

Account Owner

A. Rivera

Enterprise — AMER

Relationship Stage

Active · Expansion

Multi-thread

Last Touch

Feb 24, 2026

Exec briefing

Open Pipeline

$1.85M

3 active opportunities

Engagement Score

72/100

Sample composite

Company Overview

Public

Honeywell is a diversified technology and manufacturing company founded in 1906, headquartered in Charlotte, North Carolina, and listed on Nasdaq as HON. It employs roughly 100,000 people worldwide (approximate).

For 2025 it reported four segments — Aerospace Technologies, Industrial Automation, Building Automation, and Energy & Sustainability Solutions. Effective Q1 2026 it realigned Industrial Automation and Energy & Sustainability into a new Process Automation and Technology segment, alongside a recomposed Industrial Automation segment.

The company is executing the largest restructuring in its modern history: a planned separation into three independent public companies — the automation-focused Honeywell (HON), a standalone Honeywell Aerospace (to trade as HONA, separation scheduled June 29, 2026), and Solstice Advanced Materials (already independent, trading as SOLS since October 2025).

Founded

1906

Headquarters

Charlotte, NC

Listing

Nasdaq · HON

Chairman & CEO

V. Kapur

Employees

~100K approx.

FY2025 Revenue

~$40B approx.

Continuing ops

Q1'26 Backlog

$38.3B

Record

Aerospace Spin

Jun 29, 2026

Ticker HONA

References

Nasdaq quote (HON) FY2025 Form 10-K (filed Feb 2026) Investor Relations

Links to Honeywell's FY2025 Annual Report on Form 10-K (fiscal year ended Dec 31, 2025), filed Feb 17, 2026 · SEC accession 0000773840-26-000013.

Financial Performance

Public · filings

From full-year 2025 and Q1 2026 results. Reported (GAAP) and adjusted figures differ; some totals are rounded or approximate.

FY2025 Adj. EPS

$9.78

+12% YoY

FY2025 Free Cash Flow

$5.1B

+20% YoY

Q1'26 Adj. EPS

$2.45

+11% YoY

Q1'26 Sales

$9.1B

+2% organic

Q1'26 Orders

+7%

Organic

Q1'26 Backlog

$38.3B

Record

Margin & Growth Signals (approximate)

Aerospace adj. margin (FY25)

26.1%

Q1'26 segment margin

23.3%

Aerospace organic growth (FY25)

+12%

Q1'26 organic sales

+2%

2026 Company Guidance (reaffirmed at Q1)

Sales of approximately $38.8B–$39.8B, organic growth 3–6%.
Adjusted EPS of $10.35–$10.65, up 6–9% versus 2025.
Free cash flow of $5.3B–$5.6B; segment margin expansion of ~20–60 bps.

GAAP results carry large one-time charges from the PSS/WWS held-for-sale process (the FY2025 10-K revised reported continuing-ops EPS to ~$6.94), so GAAP and adjusted figures diverge sharply. Verify exact figures against the filings before external use.

Leadership & Org Structure

Public

Senior leadership named in public filings and announcements; assignments span the three emerging companies.

Honeywell (parent / automation-focused)

Vimal Kapur

Chairman & Chief Executive Officer

Mike Stepniak

SVP & Chief Financial Officer

Honeywell Aerospace (spin-off Jun 29, 2026 · HONA)

Jim Currier

President & CEO designate

Josh Jepsen

CFO designate

John Donofrio

Chief Legal Officer designate

Solstice Advanced Materials (independent · SOLS)

David Sewell

President & CEO

Recent News

Public · linked

Sources current as of —. Titles link to the original filing or press release.

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Strategic Priorities & Signals

Public

Priorities and signals drawn from public disclosures (FY2025 and Q1 2026).

Three-way separation. Aerospace spin-off scheduled for June 29, 2026 (to trade as HONA), after the completed Solstice spin-off — creating three public companies.
Portfolio optimization. Agreement to sell Warehouse & Workflow Solutions to American Industrial Partners; the Productivity Solutions & Services sale is also pending, both targeted to close in H2 2026 — narrowing to a core automation portfolio.
Segment realignment. A new Process Automation and Technology segment was formed effective Q1 2026.
Connected software & recurring revenue. Continued public emphasis on the Honeywell Forge platform.
Operating discipline. The "Accelerator" operating system underpins margin and execution.
Record demand. Backlog at a record ~$38.3B exiting Q1 2026; an Aerospace Investor Day was held June 3, 2026.

Company Pain Points

Public-derived

Pain points an AI-transformation buyer might feel, mapped from public signals. public signal = anchored to a disclosure; inferred = general reasoning.

Separation execution loadpublic signal

Splitting into three companies — with the Aerospace spin dated June 29, 2026 and two divestitures closing in H2 — means duplicating or rebuilding functions, data, and processes under a tight clock.

Systems & data fragmentation from carve-outinferred

Carve-outs typically splinter shared systems and data ownership, creating integration, reporting, and governance gaps as entities stand up independently.

Scaling operations against record backlogpublic signal

A record ~$38.3B backlog puts pressure on capacity, supply chain, and throughput — areas where automation and AI-enabled operations are often pursued.

Turning digital ambition into operational capabilitypublic signal

Public emphasis on connected software and recurring revenue (Forge) raises the bar for embedding AI across the org rather than running isolated pilots.

Margin & efficiency mandatepublic signal

2026 guidance assumes continued margin expansion; the "Accelerator" operating system signals appetite for structured efficiency programs.

Talent & change capacity during reorginferred

Large restructurings stretch leadership attention and change capacity, which can slow unrelated transformation work without outside support.

Where AI Transformation Fits

Public-derived + illustrative

Win theme. Position AI transformation as the way to run three companies leaner from day one — turning the separation from a cost-and-risk event into an operating-model upgrade, with AI absorbing repetitive carve-out work and embedding into the digital strategy.

Business challenges mapped to approach

Challenges are anchored to public signals; the approach and outcomes are an illustrative consulting framing, not a claim about results. Benchmarks below are placeholder figures.

Business challenge	Public signal	AI transformation approach	Illustrative outcome
Stand up three companies fast	Aerospace spin Jun 29, 2026; two divestitures in H2 public	Operating-model design per entity; AI to automate repetitive separation workstreams instead of re-staffing.	Faster function stand-up; fewer temporary hires illustrative
Fragmented systems & data	Carve-out complexity inferred	Data-ownership and platform decisions set early; shared AI foundations that survive the split.	Less rework; AI investments compound vs. restart per company illustrative
Convert backlog to throughput	Record ~$38.3B backlog public	AI-enabled operations across planning, supply chain, and service workflows.	Higher throughput without proportional cost illustrative
Pilots that don't scale	Forge / connected-software push public	Move from isolated pilots to capability embedded in the operating model and tied to recurring-revenue goals.	More pilots reach production; clearer value capture illustrative

Expected impact (illustrative placeholders)

↓ weeks

Time to stand up separated functions

↑ pilots→prod

Share of AI pilots reaching production

↓ manual

Manual effort in carve-out workstreams

→ margin

Supports the 2026 margin-expansion goal

All impact figures are placeholders — replace with real, defensible benchmarks before any external use.

Risks & Watch Items

Public-derived

Three-way separation execution. The June 29 Aerospace (HONA) spin, on top of the completed Solstice carve-out, means Honeywell is splitting leadership, systems, and processes across three companies at once — real bandwidth and sequencing risk through 2026.
Two divestitures mid-flight. The pending PSS sale and the WWS sale to American Industrial Partners add parallel carve-out work and closing risk in the second half of 2026.
Decision-maker churn. Executives are being assigned across HON, HONA, and SOLS (including the newly named Aerospace leadership team), so account ownership and budget authority are actively moving.
GAAP vs. adjusted divergence. The PSS/WWS impairments already widened the gap between Honeywell's reported and adjusted results, which can obscure underlying performance quarter to quarter.
End-market cyclicality. Honeywell's Aerospace, Building Automation, and Industrial/Process Automation segments are exposed to aerospace cycles, construction, and industrial capex.
Global manufacturing & tariffs. Honeywell's worldwide manufacturing footprint carries input-cost and trade-policy exposure that management has publicly flagged and is actively mitigating.

Engagement & Opportunity History

Illustrative

Fabricated sample data — filter by stage and outcome, sort by value or date.

Stage

Outcome

Engagement	Stage	Value	Date	Outcome

Executive Summary

Public + framing

Honeywell is a financially healthy diversified industrial in the middle of a defining transformation — a planned split into three public companies, with Solstice already separated and the Aerospace spin-off (HONA) scheduled for June 29, 2026. It is carrying a record ~$38.3B backlog and reaffirmed a 2026 outlook of continued growth and margin expansion.

For an AI-transformation and consulting pitch, the separation is the dominant theme: it concentrates demand for operating-model design, carve-out data and process readiness, and change capacity, while the public push toward connected software and recurring revenue creates an opening to move from pilots to embedded capability. The risk is timing — decision-makers and budgets are in motion as the org restructures.

Outreach Overview

How to use

A sample outreach playbook for selling AI transformation & consulting services (from the fictional Northwind AI Advisory) into Honeywell during its separation.

Every persona, contact, and message below is fabricated sample copy. The hooks are anchored to real public signals (the June 29 Aerospace spin, the WWS/PSS divestitures, the record ~$38.3B backlog, the connected-software push) so the copy reads as grounded — but the outreach, recipients, and sender are illustrative. Replace bracketed placeholders like [First Name] and [Your Name] before any real use.

Showing the original sample copy set.

Demo behavior: this reads an alternate copy set from the committed ./data/playbooks.json file and swaps it in, so you can see the copy update. Click again to revert. The page makes no live network calls except the Google Fonts CDN — edit data/playbooks.json to change the regenerated copy. No endpoints or API keys live in this file.

Deal Strategy & Multi-Threading

Illustrative

A sample account approach — how a team might sequence and multi-thread the relationship. Strategy framing is illustrative; it leans on the public signals above.

Account win theme. Make AI transformation the engine that lets each new company launch lean — not a project that competes with the separation for attention, but the thing that makes the separation go faster and cost less.

Recommended entry point & sequence

Enter through Operations / Transformation. They own the separation-execution pain and feel the timeline most directly — the easiest "why now."
Thread to IT / Digital next. They own the data and platform decisions that make or break whether AI scales across the new entities.
Bring in Finance to fund and quantify. Tie the work to the 2026 margin-expansion goal and separation costs.
Secure an executive sponsor. A COO or CTO-level sponsor unlocks budget and cross-functional access during a busy reorg.

Multi-thread map

Thread	Primary motivation	What they unlock	Risk if ignored
Operations / Transformation	Hit the separation timeline without disruption	Problem definition, urgency, internal champion	No clear "why now"; deal drifts
IT / Digital	Make AI scale, not stall, across entities	Data & platform decisions; technical credibility	Pilots that never reach production
Finance	Protect margin; control separation cost	Funding and value quantification	No budget owner; stalls at proposal
Executive sponsor (COO/CTO)	De-risk the separation overall	Cross-functional mandate and air cover	Coalition has no top-down pull

All names, threads, and sequencing are illustrative sample strategy.

Contacts & Buyer Map

Illustrative

Fabricated sample contacts, mapped to personas and threads. Names are obvious placeholders.

John Smith

Chief Operating Officer

Operations · entry thread

Alex Example

VP, Transformation

Operations · champion

Bob Burger

Chief Information Officer

IT / Digital thread

Sam Sample

Director, Digital & Data

IT / Digital · technical

Jane Doe

Chief Financial Officer

Finance · funding

Pat Placeholder

VP, FP&A

Finance · value model

Persona Playbooks & Sample Copy

Illustrative

Three personas, each with target titles, primary pain, a "why now" angle, two emails, a LinkedIn note, a short call script, and discovery questions. All copy is fabricated sample and updates when you regenerate.

Operations / Transformation Leader

Target titles: COO, VP Operations, VP Transformation, Head of Operational Excellence

Primary pain: Delivering operating-model change across three separating companies on a June 29 timeline without disrupting performance.

Why now: The Aerospace spin date is set and two divestitures close in H2 — the separation workload peaks in the next two quarters.

Email 1 · InitialSubj: Standing up three companies by June 29

Hi [First Name], With the Aerospace spin set for June 29 and the WWS and PSS divestitures closing in the second half, the operating-model lift of running independent companies is hard to overstate — duplicated functions, split data, and new processes, all on a clock. At Northwind AI Advisory we help large industrials design lean operating models for newly separated entities and use AI to absorb the repetitive carve-out work rather than re-staffing for it. Worth 15 minutes to compare notes on how peers are sequencing this? Best, [Your Name]

Email 2 · Follow-upSubj: The work that doesn't move the backlog

Hi [First Name], Following up — with a record backlog near $38B, the last thing a separation should do is pull operations capacity into manual carve-out tasks. We typically find a meaningful share of separation work can be automated or AI-assisted, freeing your team for throughput. Happy to share a short view of where that tends to land first. Best, [Your Name]

LinkedIn note

[First Name] — following Honeywell's three-way separation with interest. We help industrials stand up lean operating models for newly independent businesses. Would value connecting.

Call / voicemail

Hi [First Name], [Your Name] at Northwind AI Advisory. I work with operations leaders standing up newly separated companies — using AI to take the repetitive carve-out work off the team so you can hold the June timeline without adding headcount. I'll follow up by email; my number is [number].

Discovery questions

How are you sequencing operating-model decisions across the separating entities?
Where is separation work pulling capacity away from delivering the backlog?
What would have to be true for AI to absorb carve-out work rather than adding headcount?

Finance Leader

Target titles: CFO, VP Finance, FP&A Director, Controller

Primary pain: Protecting margin and hitting 2026 expansion targets while absorbing separation costs and divestiture noise.

Why now: 2026 guidance was reaffirmed at Q1 even as GAAP results carried large PSS/WWS impairment charges — the margin story has to stay clean through the split.

Email 1 · InitialSubj: Margin expansion through a three-way split

Hi [First Name], 2026 guidance assumes continued segment-margin expansion even as the Aerospace separation completes in June — a tall order while standing up independent finance, reporting, and controls. Northwind AI Advisory helps finance leaders use AI to take cost and manual effort out of close, reporting, and separation workstreams, so efficiency targets don't depend on the reorg cooperating. Open to a brief call to see if any of this maps to your priorities? Best, [Your Name]

Email 2 · Follow-upSubj: Keeping the noise out of the numbers

Hi [First Name], Quick follow-up. Separations and divestitures generate one-time charges and reporting complexity that can obscure underlying performance — this year's impairments are a good example. We help teams stand up cleaner, more automated reporting through a separation so the operating story stays legible. Happy to share where that's highest-leverage. Best, [Your Name]

LinkedIn note

[First Name] — we work with finance leaders protecting margin through complex separations using AI in close and reporting. Given Honeywell's split, thought it might be relevant. Open to connecting.

Call / voicemail

Hi [First Name], [Your Name] at Northwind AI Advisory. We help CFOs protect margin through separations by taking manual effort out of close and reporting — so the 2026 expansion target doesn't hinge on the reorg going perfectly. I'll send a short note; reach me at [number].

Discovery questions

How much of your 2026 margin plan depends on the separation going smoothly?
Where does manual effort concentrate in close and reporting today?
What reporting complexity worries you most as the entities separate?

IT / Digital Leader

Target titles: CIO, CTO, CDO, VP Digital, Head of Data

Primary pain: Turning the connected-software and AI ambition into embedded capability — not scattered pilots — while untangling shared systems across the carve-out.

Why now: Data ownership and platform decisions for each new entity get locked in during separation; getting them right early is what lets AI scale afterward.

Email 1 · InitialSubj: From AI pilots to operating capability

Hi [First Name], Honeywell's public emphasis on connected software and recurring revenue sets a high bar — and a separation is exactly when shared systems and data ownership get hardest to manage. Northwind AI Advisory helps digital leaders move from isolated AI pilots to capability embedded in the operating model, with the data foundations to survive a carve-out. Would a 15-minute exchange on how peers are approaching this be useful? Best, [Your Name]

Email 2 · Follow-upSubj: Data ownership through a carve-out

Hi [First Name], Following up. The fastest way to stall AI ambition is to enter a separation without clear data ownership and platform decisions for each new entity. We help teams set that foundation early so AI work compounds instead of restarting per company. Happy to share a short readiness view. Best, [Your Name]

LinkedIn note

[First Name] — we help digital leaders turn AI ambition into embedded capability, especially through separations. Honeywell's split makes this timely. Would value connecting.

Call / voicemail

Hi [First Name], [Your Name] at Northwind AI Advisory. We help CIOs and CDOs get data ownership and platform decisions right during a separation so AI scales across the new companies instead of restarting in each. I'll follow up by email; my number is [number].

Discovery questions

How will data ownership and platforms be divided across the new entities?
Which AI pilots are ready to become operating capability, and what's blocking them?
What would let AI investments compound rather than restart per company?