Capability · 02
02 · Practice
AI Systems & Agents
Workflow automation, copilots, and custom agents, built around the brand, not bolted to it.
Definition
The enterprise side of our AI practice. We design and ship the systems behind the picture: workflow automation, internal copilots, customer-facing agents, and the governance layer that keeps it all on-brand. Same authors who run our generative film pipelines, applied to operations, support, and the everyday work that runs the brand.
For
- 01Brand and marketing orgs drowning in repetitive content, asset, and review work.
- 02Operations and ops-adjacent teams looking to compress cycle time, not just headcount.
- 03Customer-facing teams piloting conversational AI that has to sound like the brand.
- 04Leadership pressure-testing where AI earns its keep and where it doesn't.
What we ship
07 sub-practices
Each line below is a standing offer. Scoped, priced, and led by a named practice lead. Mix and match across a brief; nothing here is a one-off.
Workflow Automation
Agentic workflows that move work through marketing, ops, and review, wired into the tools the team already uses (Notion, Slack, Linear, Figma, Frame.io, the DAM).
Workforce Copilots
Branded internal copilots for marketing, creative, sales, and ops, trained on the brand archive, the playbook, and the data the team actually needs at hand.
Custom Agents (Human-in-the-Loop)
Production-grade agents with explicit review gates, audit logs, and rollback paths, for the workflows where 'mostly right' isn't the bar.
Conversational & CX Agents
Voice and chat agents for support, concierge, and post-purchase, sentiment-aware, escalation-aware, and tuned to the brand's tone of voice.
Data Enrichment & Reporting
AI-powered enrichment, classification, and real-time reporting against first-party data, so dashboards answer questions instead of just displaying them.
AI Strategy & Governance
Roadmaps, governance, rights frameworks, evals, and pilot programs for brand and agency leadership. Where AI earns its keep, where it doesn't, and how to operationalize the answer.
Brand AI Tools & Applications
Internal web apps, plugins, and self-serve brand engines so teams ship on-system content without breaking the visual language or rights posture.
Outcomes
- Working agents and automations in production, not slideware.
- On-brand voice across every assistant, copilot, and chat surface.
- Documented governance, evals, and a rollback path, not a pile of prompts.
- Cycle-time and cost reads the CFO can actually verify.
Process
- 01Discovery: map the workflow, the data, and where AI actually moves the number.
- 02Pilot: working agent or copilot in production in weeks, behind a feature flag.
- 03Harden: evals, rollback paths, governance, and audit logs before we scale it.
- 04Operate: telemetry, iteration, and quarterly reviews against the original brief.
Continue exploring