Two lines is enough. Sav replies within 24h.
Reaches Sav directly · response within 24h · NDA on request
sav@ensolabs.ai/LinkedIn
A fractional Chief AI Officer is a senior AI leader who works part of each month inside your company: setting the AI roadmap, deciding what to build or buy, putting governance in place, and reporting results to leadership.
Most fractional advisors stop at the plan. Enso Labs is a principal-led AI managed-services studio in New York City, so the same team that writes the roadmap builds the agent workflows and operates them in production.
This is for a CEO, CMO or agency leader who has been told to "do something with AI", does not yet need a full-time AI executive, and wants one accountable person plus a team that can deliver.
Teams try tools on their own. There is no roadmap, no budget line, no agreed rules for data or approvals, and no one reporting results to leadership.
Content, campaign, research and reporting work is where AI shows up first. You need someone who knows both marketing and AI systems to decide what goes into production.
You want senior judgment now and a working first workflow within a quarter, before you decide whether to hire a full-time AI leader.
The role is a working one. Each month has a short list of decisions, one or two workflows in progress, and a report leadership can read in five minutes.
A ranked list of where AI belongs in your business, with the owner, data, cost and success measure for each item, reviewed with leadership every month.
Data rules, approval steps, vendor and model choices, and a risk framework aligned to the NIST AI RMF, written before the first workflow ships.
Pick the first marketing workflows, such as account research, campaign planning, content from approved sources and performance reporting, and set the rubric each output is judged by.
The Enso Labs team builds the agent workflows on your data and systems, with evals and a person on approval, and operates them as a managed service.
Every workflow is measured against a baseline taken before the build. In one pharma agency engagement, campaign launches went from 3 months to 2 weeks, 83% faster.
Your team learns to run and extend the system. When you are ready to hire a full-time AI leader, we help write the role and hand over a documented system.
Maturity assessment, opportunity map, prioritized backlog. It ends with a written roadmap and a working agentic prototype.
The first two weeks map your current AI use, data and approvals, and end with a ranked roadmap and one working prototype.
Scoped to one high-leverage use case: roadmap, business case and governance, a production agentic system, an eval harness and an ops runbook.
The fractional lead takes the first workflow into daily use and sets the governance and reporting rhythm for the rest.
We run the system, report on it monthly, and train your people on it. When you want it in-house, we document it and hand it over.
Monthly: roadmap review, one or more workflows in build or operation, and a short results report for leadership.
Published examples of the same method: senior AI judgment paired with systems we build and operate.
For a full-service pharma advertising agency: brand knowledge bases, active content automations and a NIST AI RMF governance framework, operated as a managed service.
Read the case study →An agent pipeline that read 731 documents and surfaced 16 decision-ready signals for the leadership team.
Read the case study →A 10-day diagnostic, then the first agentic workflow in production, for independent and midsize agencies.
See the agency offer →A fractional Chief AI Officer is a senior AI leader who works a set number of days each month for your company instead of full time. The role owns the AI roadmap, governance, build-or-buy decisions and reporting to leadership. At Enso Labs the fractional lead is backed by a studio team that also builds and operates the agent workflows.
When AI needs a clear owner and a first result within a quarter, but the scope does not yet justify a full-time executive. Common signs: teams use AI tools with no shared rules, leadership has asked for an AI plan, and marketing or operations has repeating work an agent could carry.
It covers choosing which marketing workflows to automate first, writing the brand and claims rules agents must follow, building workflows for research, campaign planning, content and reporting, and measuring them against a baseline. A named person on your team approves what ships.
A consultant usually delivers a plan; an agency usually delivers campaigns. A fractional AI lead from Enso Labs owns the plan and the outcome: the same team writes the roadmap, builds the agents and runs them in production, then trains your people to take them over.
With a fixed-fee 2-Week AI Audit, scoped before it starts. It ends with a ranked AI roadmap, a governance outline and one working agentic prototype. The monthly fractional engagement starts after that, if it fits.
You do. Client engagements transfer all custom code, prompts, eval suites and documentation on delivery. We build mainly on Claude, with LangGraph, the Model Context Protocol and N8N for orchestration.
Tell us where AI stands today and what leadership is asking for. Sav replies within 24 hours.
