Inputs arrive
Email, forms, calls, meetings, files, deadlines, and system events create new work.
AI agents for
Client knowledge lives across meetings, decks, task systems, and inboxes while delivery teams recreate the same context.
Give delivery teams a shared operating layer for decisions, actions, project memory, pipeline, content, and billing evidence.
The operating problem
The useful question is not whether AI can answer a question. It is whether an agent can move a controlled workflow from one verifiable state to the next.
Email, forms, calls, meetings, files, deadlines, and system events create new work.
People reconstruct the client, project, document, approval, and next action across multiple tools.
Missing provenance, silent assumptions, delayed review, and unclear ownership make automation hard to trust.
A configured role gathers the context, acts within limits, and routes exceptions with evidence.
Recommended roster
Each promise below is rewritten around the industry workflow. The detail page shows the reusable role architecture.
Matter Agent
I maintain the client delivery state across meetings, documents, tasks, and decisions.
Open MartaMeeting Agent
I turn every client call into owners, due dates, and system updates.
Open MiloSales Agent
I keep opportunities current and prepare relevant next actions.
Open SorenContent Agent
I turn approved expertise into source-backed content in the firm voice.
Open CoraBilling Agent
I connect work evidence to review-ready billing records.
Open EllisDesign obligations
These are architecture requirements to resolve during discovery and design. They are not compliance guarantees.
Client-by-client information boundaries
Approval for client-facing communication
Clear retention of meeting and project memory
Commercial terms controlled by authorized staff
Integration inventory
Integration names indicate common targets for discovery. Availability, permissions, API coverage, and usage rights are verified during scoping.
AI Readiness Audit
In one working session, we map the workflow, systems, approval boundaries, risks, and the most useful first deployment.