Services.
Every engagement starts with the foundation. Agentic workflows and enablement are built on top.
The foundational knowledge layer.
Before your team can use AI reliably, your institutional knowledge has to live somewhere governed, structured, and AI-ready. The Foundation is where I start with every client — stakeholder interviews, knowledge audit, taxonomy and governance documentation, and a centralized canon that becomes the source of truth for everything built on top.
Stakeholder interviews and knowledge audit.
Conversations with the people closest to your business, mapping what they know and where institutional knowledge currently lives.
Brand voice and canonical documentation.
The specific language and approved messaging that defines how your business communicates.
Topic and content taxonomy.
Structured categories that make your knowledge navigable for both humans and AI systems.
Governance framework and approval workflows.
Clear rules for who owns what, who updates what, and how new knowledge gets into the canon reliably.
AI-ready knowledge base.
A centralized source of truth — Notion, Claude Projects, or your preferred platform — structured for AI retrieval and human collaboration.
Starting at $9,500. Scope and investment are determined in a scoping call.
The agentic workflow layer.
Once the foundation is in place, agentic workflows handle the retrieval, assembly, and first drafts your team was spending creative hours on.
Brand-governed content engine.
An AI workflow that produces first drafts of blog posts, campaign copy, and long-form content — pulled directly from your approved messaging, brand voice, and research base.
Custom-scoped per build.
Sales enablement agent.
A custom agent that assembles proposals, RFP responses, and sales collateral from your governed library of case studies, boilerplate, and approved language.
Custom-scoped per build.
Internal knowledge assistant.
A chat-based agent that makes your institutional knowledge queryable — meeting notes, project histories, decisions, and source documents, all surfaced through natural conversation. Used for onboarding new hires, training existing team members, and reducing the time senior people spend answering the same questions.
Custom-scoped per build.
The human layer.
Training, documentation, and 30 days of post-launch fine-tuning are included with every engagement. A system only works if the people using it adopt it, so I stay with your team through rollout and the ongoing fine-tuning needed to embed it into daily workflows.
Hands-on training for your team.
Workshops tailored to your team's roles and the specific workflows you're introducing. I teach the people who will use the system day-to-day, so adoption isn't left to chance.
Documentation.
Clear, searchable guides your team can reference when I'm not in the room — written in language your team will recognize, not technical jargon.
Feedback and fine-tuning.
I stay engaged after launch, checking in with your team, collecting what's working and what isn't, and tuning the system based on real use — not hypothetical edge cases.
Governance that evolves with your team.
As people use the system, new categories and edge cases emerge. I keep the governance framework current so your team isn't stuck with rules from before the system was real.
Ongoing strategic partnership.
Your team shouldn't need me indefinitely. Before the engagement ends, I train a designated team member to own the system. For clients who want ongoing access to strategy, new workflow development, and system audits, retainers are available.
Not sure where to start?
Every engagement begins with a scoping call. We'll talk through your team's current AI workflows, where they're breaking down, and what building a foundation could look like for your business.