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Where we help

One approach across four kinds of building decision.

For boards

Know what management must show before an AI use case goes ahead.

Cognitive Assurance →

For building operations

Agree what AI may recommend and what the building automation system may execute.

AI readiness review →

For lifecycle and capital planning

Connect asset records to the maintenance and funding decisions they support. We partner with the Building Lifecycle Management Initiative (BLMI).

Lifecycle readiness →

For weather readiness

Turn readiness gaps into assigned actions with supporting evidence.

Resilience Companion →

Start with a building problem

Conflicting records. Your systems are connected, but the information they hold does not agree.

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Unclear authority. An AI recommendation arrives. Who can authorize action?

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Handover gaps. The project is complete. Can the operating team use the information?

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Explore the Six-Gate Readiness Model

See the illustrative decision brief

Why Cognitive: AI-native professional services

AI throughout delivery. We use AI in research, analysis and preparation of professional work, with source checks and human review.

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Bespoke tools and workflows. We build applications and workflows around your task, records and operating needs.

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Professional accountability. People review the evidence, approve changes and accept the work against agreed checks.

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Explore a working tool: Resilience Companion

See illustrative work outputs

Make a building decision with evidence you can use.

Start with one operational or sustainability question. Review the records, responsibilities and constraints, then define a practical pilot and a baseline for judging it.

System context

System inventory. List the building systems, owners, access paths, and workflow handoffs involved in one use case.

Decision boundary. Name what AI may observe, recommend, or do, and what stays with a person.

Evidence quality

Source quality. Identify which readings, records, and documents support the use case, how current they are, and who can correct them.

Baseline and test. Record the current outcome before piloting AI, then compare results with a defined review method.

Human controls

Approval and override. Decide which actions need a named human approver and how staff can stop or reverse an AI recommendation.

Review and accountability. Log evidence, exceptions, and outcomes so the pilot can be assessed before wider use.

Working with Cognitive Corp

Start with a scoping discussion about one building decision. Agree the work, acceptance checks and handover requirements before delivery. Define any continuing support separately.

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Scope the work

Start with one building decision. Agree the work, written outputs, responsibilities, acceptance checks, timing and fee before work begins.

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Deliver and accept

Carry out the agreed review, change or pilot with named human approvals. Review the evidence together, record exceptions and confirm what has been accepted.

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Agree continuing support

Decide who maintains the records and reviews performance. Agree any continuing support, review schedule and change terms for the engagement.

Architect at Work

For a proposed building project, review how design decisions, system information and operational responsibilities will carry through construction and handover. Define one AI-supported use case, check the available evidence and agree on human oversight before planning a pilot.

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Governed AI agents for selected building workflows

Governed AI agents begin with a defined job: preparing maintenance information, organizing project handover records or another repeatable workflow.

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Agree on the information the agent can use, its responsibilities and the decisions a person must approve. Test the output against representative records and review exceptions with the people who run the process.

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How we report results: We distinguish estimates, pilot observations and measured outcomes, with the baseline and limits made clear.

interiro design

AI Enabled Architecture and Interior Design

Bring the design or handover decision into focus. Review the project records, requirements and responsibilities that matter to it.

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An AI-supported review can help organize approved information and compare documented requirements. Architects, engineers and project leaders retain professional judgment and approval.

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For energy and sustainability questions, use current building records and a clear baseline to compare estimates with measured changes.

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Agree on the review criteria, the information the facility team needs and who will resolve gaps before a pilot begins.

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interiro design
Work Colleagues

AI-Supported Project Management 

Give the project team a clearer view of the records behind a decision. Start with one task: a status summary, an action log or a handover review.

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Identify the authoritative sources, review frequency and people responsible for checking the output. Keep decisions about scope, cost and delivery with the project team.

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A limited pilot can show how accurate and useful the output is, which exceptions it misses and how much effort it takes to review. Use that evidence to decide the next step.

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Bring one project workflow to a readiness discussion.

Practical AI readiness for facility teams

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AI Readiness for Facility Management

Make one facility workflow easier to assess. Start with the current process, the people who use it and the building records behind it.

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Review the systems, access permissions and handover responsibilities. Include the needs of facility staff and occupants in the decision.

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Compare implementation, licensing and ongoing support costs with the current workflow. Agree on the scope, approval steps and review criteria for a limited pilot.

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Bring one maintenance, project-information or service question to a discussion. We can work through the evidence and a practical next step.

Construction Site Managers

Advisory board

Advisory Board
Ted Ritter

Corporate Advisory Board // Core Team

Ted Ritter — Adviser to Cognitive Corp

Principal, Lead Management Institute

Global Co-Chair, Technology Community of IFMA

Past Chair, IFMA Americas Advisory Board

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Amanda Muzzarelli

Corporate Advisory Board // Core Team

Amanda Muzzarelli

Principal, AM Consulting

Director Facilities Management State Farm (past)

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Jonathan Lett

Corporate Advisory Board // Core Team

Jonathan Lett - CFO

Principal: Griffith, DeLaney, Hillman & Lett

PCAOB, CPA

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James Waddell

Corporate Advisory Board Chair // Core Team

James Waddell

Cognitive Corp

Previous: CannonDesign 

Previous: Plantronics

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Antony Slumbers

Corporate Advisory Board 

Antony Slumbers

Founder: antonyslumbers.com

Leadership Board: CREtech 

Advisory Board: Equiem

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Henry Massey

Corporate Advisory Board 

Henry Massey

Co-Founder & CMO: ELORA

Head of Emerging Tech, IFMA: Workplace Evolutionaries

Sr. Director of Enterprise Solutions, NavigatorCR

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Vik Bangia, MCR

Corporate Advisory Board 

Vik Bangia, MCR

CEO: Verum Consulting

VP Global Real Estate: Ameriprise  (past)

SVP Global Client Solutions: Realogy Holdings  (past)

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Gordon Wright

Corporate Advisory Board 

Gordon Wright

Senior Principal, Firmwide Director of WorkPlace, HOK

Senior Vice President, Global Services: Nelson (past)

Senior Manager, Real Estate Technology: KPMG  (past)

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Adam Wilbrecht, AIA

Corporate Advisory Board 

Adam Wilbrecht, AIA

Chief Product Officer: CONCERT

Director of Design Technology : Cunningham (past)

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Stan Gibson

Corporate Advisory Board 

Stan Gibson

Principal, Oxygen Plus

Sr. Vice President CRE: Wells Fargo (past)

Sr. Vice President: Trellis Real Estate Group (past)

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Hunter Fleshood, MCR

Corporate Advisory Board 

Hunter Fleshood, MCR

CBRE, Global Lead - Workplace Technologies

Head of Sales: Siemens (past)

Enterprise Sales: WeWork (past)

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Arthur Alter

AI Association Advisory Board 

Arthur Alter

Chief Commercial Officer, Buildings IoT

Advisor, Checkhub

Advisor, TopHat

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Arthur Alter
Joya Scarlata, MBA

AI Association Advisory Board 

Joya Scarlata, MBA

Director Digital Marketing: InterralIT

 

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Joya Scarlata, MBA
Chris Daigle

AI Association Advisory Board 

Chris Daigle

CEO + Co-Founder: ChiefAIOfficer.com

Founder: Daygull Strategic

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Chris Daigle

Frequently asked questions

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