COGNITIVE ASSURANCE
Better building decisions,
from design to renewal.
Cognitive Corp connects the records, responsibilities and AI recommendations behind each decision in a building's life, so the people accountable can act on evidence and stay in control.
AI recommends. You stay in control.
Where we help
One approach across four kinds of building decision.
For building operations
Agree what AI may recommend and what the building automation system may execute.
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).
For weather readiness
Turn readiness gaps into assigned actions with supporting evidence.
Start with a building problem
Conflicting records. Your systems are connected, but the information they hold does not agree.
Unclear authority. An AI recommendation arrives. Who can authorize action?
Handover gaps. The project is complete. Can the operating team use the information?
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.
Bespoke tools and workflows. We build applications and workflows around your task, records and operating needs.
Professional accountability. People review the evidence, approve changes and accept the work against agreed checks.
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.
01
Scope the work
Start with one building decision. Agree the work, written outputs, responsibilities, acceptance checks, timing and fee before work begins.
02
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.
03
Agree continuing support
Decide who maintains the records and reviews performance. Agree any continuing support, review schedule and change terms for the engagement.
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.
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.
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.
How we report results: We distinguish estimates, pilot observations and measured outcomes, with the baseline and limits made clear.
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.
An AI-supported review can help organize approved information and compare documented requirements. Architects, engineers and project leaders retain professional judgment and approval.
For energy and sustainability questions, use current building records and a clear baseline to compare estimates with measured changes.
Agree on the review criteria, the information the facility team needs and who will resolve gaps before a pilot begins.
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.
Identify the authoritative sources, review frequency and people responsible for checking the output. Keep decisions about scope, cost and delivery with the project team.
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.
Bring one project workflow to a readiness discussion.
Practical AI readiness for facility teams
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.
Review the systems, access permissions and handover responsibilities. Include the needs of facility staff and occupants in the decision.
Compare implementation, licensing and ongoing support costs with the current workflow. Agree on the scope, approval steps and review criteria for a limited pilot.
Bring one maintenance, project-information or service question to a discussion. We can work through the evidence and a practical next step.
Advisory board
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
Corporate Advisory Board // Core Team
Amanda Muzzarelli
Principal, AM Consulting
Director Facilities Management State Farm (past)
Corporate Advisory Board // Core Team
Jonathan Lett - CFO
Principal: Griffith, DeLaney, Hillman & Lett
PCAOB, CPA
Corporate Advisory Board Chair // Core Team
James Waddell
Cognitive Corp
Previous: CannonDesign
Previous: Plantronics
Corporate Advisory Board
Antony Slumbers
Founder: antonyslumbers.com
Leadership Board: CREtech
Advisory Board: Equiem
Corporate Advisory Board
Henry Massey
Co-Founder & CMO: ELORA
Head of Emerging Tech, IFMA: Workplace Evolutionaries
Sr. Director of Enterprise Solutions, NavigatorCR
Corporate Advisory Board
Vik Bangia, MCR
CEO: Verum Consulting
VP Global Real Estate: Ameriprise (past)
SVP Global Client Solutions: Realogy Holdings (past)
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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Corporate Advisory Board
Adam Wilbrecht, AIA
Chief Product Officer: CONCERT
Director of Design Technology : Cunningham (past)
Corporate Advisory Board
Stan Gibson
Principal, Oxygen Plus
Sr. Vice President CRE: Wells Fargo (past)
Sr. Vice President: Trellis Real Estate Group (past)
Corporate Advisory Board
Hunter Fleshood, MCR
CBRE, Global Lead - Workplace Technologies
Head of Sales: Siemens (past)
Enterprise Sales: WeWork (past)
AI Association Advisory Board
Arthur Alter
Chief Commercial Officer, Buildings IoT
Advisor, Checkhub
Advisor, TopHat
AI Association Advisory Board
Joya Scarlata, MBA
Director Digital Marketing: InterralIT
AI Association Advisory Board
Chris Daigle
CEO + Co-Founder: ChiefAIOfficer.com
Founder: Daygull Strategic