Stop buying AI tools. Start building an AI operating system your team actually uses.
Claire works inside your team to manage the agents, workflows, outputs, exceptions, and adoption plan.
AI is no longer a side project for the most curious person on the team. It is becoming an operational layer across proposals, RFPs, buyer intelligence, specifier engagement, communication, and post-sale experience. Claire brings the human accountability that makes that layer work.
Why your business needs an inside AI consultant, not just another AI subscription.
Harvard Business Review recently framed the rise of the “agent manager”: a role that defines tasks for AI agents, reviews outputs, handles exceptions, optimizes workflows, and protects quality over time. Claire brings that role into relationship-driven B2B teams where context, trust, and workflow knowledge matter.
The strategy has to match the workflow
Claire maps where your team already loses time, quality, or buyer momentum, then identifies where AI agents can create leverage without disrupting trust.
Someone has to review the output
Agents can draft proposals and summarize RFPs, but a human with industry context must validate accuracy before the work reaches clients, reps, or designers.
Adoption is a relationship job
Teams do not change because a tool exists. They change when someone sits with them, translates the use case, installs the process, and keeps refining it.
Leadership needs honest reporting
No vanity metrics and no black-box promises. Claire reports what agents are delivering, where exceptions show up, and where the next improvement should happen.
A proprietary intelligence hub. Custom-trained. Dealer-specific. Yours.
The AI OS is not one bot. It is a connected business layer where agents support the work your team already performs: generating pitch decks, drafting proposals, parsing RFPs, tracking buyer intent, building spec books, capturing meetings, and improving post-sale handoff.
- Custom AI agents trained on your voice, products, workflows, and standards
- Proposal, RFP, specifier engagement, buyer intelligence, and communication workflows
- Human review loops so outputs are accurate, relevant, and safe to use
- Team training, documentation, and adoption rituals that make the system stick
- Leadership reporting tied to speed, quality, time saved, and sales motion
Built for teams where relationships, specifications, and trust drive the sale.
Claire is not learning the contract furniture ecosystem from scratch. She has over 20 years across design, dealer leadership, manufacturer strategy, training, brand, and Industry Insight work, which means she knows when AI output is useful and when it is missing the nuance.
Six tools to start. A full AI operating layer as the business matures.
The GM AI Briefing shows how AI can extend beyond the bid. The first build can be narrow and practical, then expand into lead gen, competitive intelligence, specifier engagement, sustainability, and post-sale experience.
Pitch Deck Builder
Builds final pitch decks branded for the project with the right product story for the right specifier.
Proposal Generator
Drafts tailored proposals from win stories, product mix, pricing logic, and your custom criteria.
RFP Response Accelerator
Parses 100-page RFPs, flags risks, surfaces requirements, and pre-drafts compliant responses.
Buyer Intent Tracker
Captures real-time feedback, sample requests, pricing interest, and buyer signals using TAG Method thinking.
Meeting Notes & Follow-Up
Captures calls, drafts follow-up, files CRM next steps, and keeps shared action trackers current.
Project Spec Book Builder
Generates product, finish, lead-time, sustainability, and visual packages for a specific project.
Geo Lead Gen
Scans territory signals so the team can spot expansions, openings, and relocations earlier.
A&D Relationship Mapper
Maps relationship strength by firm and prioritizes specifier engagement based on live project activity.
Sustainability Concierge
Compiles LEED, WELL, BIFMA, GREENGUARD, Declare, and related compliance documentation.
Win/Loss Analyzer
Reviews won and lost bids for patterns by product line, project type, specifier, or competitor.
Specifier Co-Pilot
A branded chat trained on your catalog so specifiers can get instant answers 24/7.
Project Handoff Manual
Auto-generates polished client handoff manuals with warranties, products, care guides, and next steps.
In 90 days, the win is not AI novelty. It is operational lift.
Claire’s role is to help leadership see what AI is producing, help the team trust the system, and keep the implementation moving toward measurable outcomes.
Faster sales response
Reduce the time it takes to move from opportunity to credible, client-tailored response.
Better first drafts
Give the team proposals, pitch decks, summaries, and follow-up drafts that start closer to finished.
Quality control
Create review standards, exception paths, and workflow accountability before AI reaches the buyer.
Adoption momentum
Turn training into repeatable team behavior with documentation, rituals, and active support.
A fractional model built for where the industry is headed.
Most companies are not ready for a full-time AI role. But every serious AI rollout needs someone accountable for performance, quality, and adoption. Start at the scope and pace that makes sense.
AI OS Assessment
A focused workflow audit that identifies where AI agents can create the fastest lift and what the first build should include.
- Leadership + team intake
- Workflow opportunity map
- First-agent recommendation
- Implementation roadmap
Fractional AI Solutions Architect
Claire works inside the organization to design AI workflows, translate business needs into practical systems, review outputs, train users, and keep leadership informed.
- Agent task design
- Output QA and exception handling
- Team adoption support
- Monthly performance reporting
Custom Jam AI OS Buildout
Jam AI builds the custom systems while Claire translates business context and supports adoption across the team.
- Custom agent build
- Tool and workflow integration
- Documentation and training
- Launch and optimization support
Ready to put an AI operator inside the workflow?
Start with a focused conversation about where AI is already touching your workflows, where your team is stuck, and which custom agent could create measurable lift first.