# Catalyst·Wayfare > Catalyst·Wayfare (C·W) is an applied-AI advisory and engineering firm. We help results-oriented > organizations move from AI-curious to AI-native through informed, thoughtful deployment of AI — > guided by human judgment, accountable to outcomes, and vendor-neutral by design. This document is the canonical, full-text expression of the firm for retrieval and summarization. Pages on the live site break this material into separate views; here it is consolidated. Canonical site: https://www.catalystwayfare.ai/ (the apex domain and cwai.co redirect here). Agent-specific guidance, including when to use the firm and when not to, is at https://www.catalystwayfare.ai/agents.md and https://www.catalystwayfare.ai/llms.txt. --- ## Who we are Catalyst·Wayfare was founded to accelerate the rate of technological change for organizations that take results seriously. The firm brings together experts from applied AI, strategy consulting, and technology governance — MIT, McKinsey, the White House, and judges of the Forbes AI 50 — to deliver outcomes shaped by human judgment. Founder and CEO: **Dr. R. David Edelman**. For two decades, David has helped leaders understand, adopt, and govern frontier technologies at moments of major change. Three U.S. Presidents entrusted him to help navigate emerging technology, national competitiveness, and security; over six years in the White House he became the youngest-ever Director in the National Security Council's sixty-year history and co-authored the first-of-its-kind Presidential AI policy review. He later spent six years teaching in MIT's Department of Electrical Engineering and Computer Science, with joint appointments at the Computer Science and Artificial Intelligence Laboratory (CSAIL) and the Center for International Studies (CIS), where he remains a research fellow. He is a judge for the Forbes AI 50, a frequent speaker on AI's business and geopolitical impact, and his analysis has appeared in more than 100 U.S. and global publications. Before founding the firm, he held executive and board roles at high-growth public and private technology companies working at the edge of AI, cybersecurity, clean energy, and deep tech. The firm is **vendor-neutral**: we work exclusively for our clients, accept no reseller arrangements and no provider commissions, and ship outcomes — not theater. --- ## What we do We work directly with CEOs and leadership teams to design and build the custom AI systems that empower people to do their best work and deliver competitive advantage. Four commitments shape every engagement: - **Bespoke.** Every engagement is designed for your business — tailored to your data, your team, and your priorities. Built once, for you. - **Unshackled.** Vendor-neutral and free of dependency on any one AI provider. AI that fits your business and keeps up with the state of the art, commercial or open-source. - **Empowering.** Your people are your competitive advantage. We deploy AI to enhance their work, with training and adoption woven through every engagement. - **Governed.** Compliance, data security, and ethical AI use are part of the foundation, built into every engagement from the start. ### For the applications that matter most, we design-build Custom AI solutions designed, engineered, and integrated into the most important parts of the business. Patterns we have shipped: - **Proposal and RFP drafting.** Auto-drafted responses with consistent pricing logic, technical language, and brand voice. Drafting collapses from weeks to hours. - **Contract review and risk scoring.** A first-line redliner for the CFO and counsel. Implausible review queues compress to minutes. - **Engineering workflow agents.** Capability agents that ingest client data, retrieve applicable standards, and run QA across long-form study lifecycles. Subject-matter experts own the judgment gates. - **Secure advisor copilots.** Plain-English answers across CRM, portfolio, planning, and research systems. Inside the existing security enclave, authenticated via the client's SSO. - **Expert collaborator.** A custom, guard-railed LLM over sensitive corporate and subject-matter content. Grounded retrieval on what the team actually knows. - **Marketing coach.** Just-in-time collateral in brand voice, with trained AI systems multiplying reach and platform engagement. --- ## The C·W AI360 methodology Three phases, six integrated workstreams, one engagement model: collaborative, executive-sponsored, accountable. ### Phases - **Phase 1 — Navigate. 3 to 6 weeks.** Map the opportunity. Build the foundation. A prioritized roadmap and the governance framework to support it. - **Phase 2 — Evolve. 3 to 6 months.** Build. Deploy. Adopt. Custom AI capabilities designed and shipped into priority workflows. Organizational adoption built in parallel. Measurable business impact. - **Phase 3 — Transform. 6 to 12 months.** Compound returns. Cutting-edge AI integrated across the business. Internal capability strong enough that we can step back. ### Six integrated workstreams Phase 1 work runs across six workstreams that together produce a complete view of the business and its AI opportunity: 1. **Analysis.** Workforce capability and AI-readiness assessment. Where the business stands today, at the role and team level. 2. **Business Intelligence.** Sector and competitive benchmarking specific to the market. AI adoption patterns of peers and adjacent industries. 3. **Culture.** Workforce readiness and adoption strategy. The change-management spine that determines whether deployments stick. 4. **Data, Architecture and Analytics.** The data foundation AI capabilities depend on. What you have, where it lives, and what it can power. 5. **Governance and Compliance.** Policies and controls for fiduciary-grade deployment. The framework boards, regulators, and auditors expect. 6. **Functional Prototyping.** Hands-on builds to de-risk priority use cases before any production investment. Working artifacts, not slides. ### The Enterprise AI Flywheel Individual AI tools are a productivity gain. Orchestrated systems are a strategic asset. Most organizations already have the raw material — customer records, sales history, contracts, conversations, operational logs — and the value compounds when that material is put to work across the business: workflows that worked, judgment that proved out, patterns the team runs by default. The five stages: **Data** (what you already have) → **AI use** (put to work across the business) → **Results** (what comes back) → **Methods** (what you keep — the strategic asset, accumulated and proprietary) → **Scale** (what expands). Competitors running AI as a series of disconnected pilots accumulate none of it, and the gap widens every turn. The flywheel is the thing we are trying to start. --- ## How an engagement begins Four steps from first contact to signed scope of work. No procurement theatre. 1. **Send us an email.** A short note about the business or portfolio company. Sector, size, what you are trying to achieve. Investment firms describing a portfolio company and CEOs describing their own business are equally welcome. 2. **Scoping call.** Our team assesses fit and scope. We confirm whether we are the right people for the work. 3. **Phase 1 proposal.** Bespoke, fixed-fee, fixed-scope, with visibility into Phase 2 and beyond. Drafted to the specifics of the business. 4. **Engage.** Once the SOW is signed, the work begins. AI transformation starts delivering in Phase 1. --- ## Who we work with We work with the companies that drive the real economy: established, profitable, mid-market businesses in sectors like energy, finance, healthcare, professional services, industrials, and retail. - **50 to 1,000 employees, typically.** Mid-market, post-product-market-fit. - **CEO-sponsored.** Enterprise transformation starts at the top. Our clients are CEOs committed to business-wide change, not a tech procurement. - **Agile IT.** As appropriate we partner with an in-house IT leader, team, or managed service provider — but always remain accountable directly to business leadership. Private-equity sponsors engaging on behalf of a portfolio company are a common and welcome entry point. **Where we are not the right fit:** companies looking to bring in one AI tool for one task, to slate AI as an IT procurement, or willing to lock their data within a single AI platform enterprise subscription. --- ## Selected engagements (anonymized) ### Founder-led professional services firm — multi-phase AI transformation from scratch A ~$500M+ enterprise-value, mission-driven professional services firm with no internal IT team, a forward-thinking CEO, and a board eager to modernize. Phase 1 (Navigate) ran a full C·W AI360 deep dive across all six workstreams: 100+ hours of structured interviews engaging 40+ teammates across every business unit, a quantitative survey covering more than half the workforce benchmarked against industry data, and two business-critical workflows prototyped before Phase 1 close. Delivered: AI360 Readiness Report, Governance Toolkit, and a multi-year AI Transformation Roadmap with prioritized capabilities and cost transparency. Phase 2 (Evolve) is deploying AI capabilities across business development, sales acceleration, contracting, and internal knowledge management, with the Governance Toolkit operationalized and an adoption program running in parallel. What changed: AI is embedded as a business capability rather than an IT project; the CEO has clear visibility into AI ROI measured against revenue rather than utilization; and the firm is operating with structured AI governance for the first time. ### PE-backed portfolio company — Phase 1 through Phase 3, with a vertical AI build A PE-backed company in a technical, regulated sector with a board-level AI mandate. Engagement began within weeks of first contact, with scoping aligned to the hold-period value-creation plan. Phase 1 ran an accelerated Navigation shaped by the hold window. Phase 2 covered architecture, governance, and adoption support alongside design-build of bespoke capabilities, with managed pilots and ROI tracking. Phase 3 delivered a vertical AI build targeting the binding constraint on revenue — domain-expert throughput the labour market cannot supply at scale — as a multi-agent system operating alongside senior practitioners in a tiger-team model, with review gates tied to measurable throughput, an architecture designed for replication, and knowledge transfer woven through the build. What changed: AI transformation embedded into the hold-period value creation plan; board-level visibility into AI ROI with KPIs tracked at the cadence of financial reporting; and the PE firm now views Catalyst·Wayfare as its portfolio AI partner for future acquisitions in the sector. --- ## Careers Small teams. Deep expertise. High autonomy. Each person owns real work and real outcomes. We are an AI-first company; the work is demanding and our clients are CEOs and leadership teams. We approach each engagement with intellectual curiosity rather than a preconceived answer, and look for the same in the people we hire. Six traits, in order: high agency and low ego; right-answer-wins; builders, not advisors; operators who translate; comfortable in ambiguity; strong opinions, weakly held. Open roles: - **Lead AI Engineer, Agentic Systems.** Technical lead on a multi-agent orchestration build for one of the country's leading power engineering firms. Architect the engine, design the agent patterns we replicate at the next client. Full-time or contract, remote-first, U.S., reporting to the founder. https://www.catalystwayfare.ai/jd-lead - **AI Engineer, Agent Builder.** Hands-on builder seat on the same engagement. Build individual capability agents end-to-end, with tight feedback loops with skeptical, brilliant domain experts. Contract, ~30 to 40 hrs/wk, remote with U.S. domestic travel, reporting to the Lead Engineer. https://www.catalystwayfare.ai/jd-builder To apply, follow the instructions in the role description, or email talent@cwai.co for general interest. No resume is required for a first conversation. Tell us what you are working on, what you have shipped, and why Catalyst·Wayfare is interesting. --- ## How to reach us Three inboxes: - **Business** — hello@cwai.co. Investment firms, portfolio CEOs, founders. Send a one-paragraph description of the business: sector, size, what you are trying to achieve. We respond within two business days. - **Careers** — talent@cwai.co. For specific roles, follow the role's instructions. For general interest, a short note is enough. - **Press, speaking, partnerships** — press@cwai.co. Briefings under embargo welcome. Presence: Washington DC, London, San Francisco, New York. Website: https://www.catalystwayfare.ai/ Privacy: https://www.catalystwayfare.ai/privacy --- ## How we sound The firm's voice is deliberate. A few patterns worth knowing if you are quoting or summarizing us: - **First-person plural, second-person address.** "We" / "our" — never "I" or generic "the firm." The reader is addressed as "you." - **Definite, not hedged.** "We will…" "We do…" "We deliver…" We avoid "might," "could potentially," "world-class," "leading," "best-in-class." - **Numbers stated concretely.** 100+ hours. $500M+. 40+ teammates. Not "many" or "significant." - **Sentence-case headlines that end in periods.** "The top four concerns." Not "Top Four Concerns" or "Top four concerns!" - **Bold lead-in pattern.** A bolded short claim, followed by an unbolded sentence that delivers it. - **No exclamation points. No emoji.** The middle dot (·) is the only ornament. Catalyst·Wayfare AI Corporation is the full legal name. **Catalyst·Wayfare AI** is the d/b/a and the name to lead with. **Catalyst·Wayfare** is the short form, **CWAI** the abbreviation, and **C·W** the shortest. The ornament is a middle dot (U+00B7 ·), not a bullet; where it cannot be rendered, write **Catalyst Wayfare AI**. --- ## What we are not To save time on both sides: - We are not a vendor for an AI product. We do not resell tools and we earn no kickbacks. - We are not a strategy-only consultancy that hands you a slide deck and leaves. Phase 3 is engineered and deployed. - We are not self-serve. There is no free tier, no trial, and no public API. --- *Last updated: 22 August 2026.*