They're not relying on underpowered enterprise platforms. Not waiting for approval to rethink processes.
Across knowledge work, small teams empowering themselves with new tools can now outproduce whole departments. The agencies that can work this way will define the next decade of communications.
Will you be one of them?
Every agency website now mentions AI. Leadership talks about “digital transformation” and “AI-powered workflows.” But speak to most teams and the reality is ChatGPT in a browser tab, producing inconsistent or mediocre output that seniors spend hours correcting.
Meanwhile, the tools continue to evolve rapidly beyond that. AI coding agents, parallel task orchestration, agentic workflows — these are technologies being applied at work right now. Small, technically fluent teams are developing their own tools to produce work at a speed and quality that large organisation are nowhere near matching.
A chasm of capability and output has opened between the most tech-fluent knowledge workers and everybody else. This gap will continue to grow through 2026. Which side are you on?
“We're using AI across the business”
— Every agency pitch deck, 2025
“The best use of AI is in your narrow domain of expertise, where you can understand its limits, and its value.”
— Ethan Mollick, Wharton School of Business
of enterprise AI initiatives have produced zero measurable returns
MIT NANDA / Harvard Business Review, 2025This isn't a technology failure. It's an implementation gap — the wrong tools, used the wrong way, by teams that haven't been shown what's possible. That's where we work.
Harvard Business School / IG Group, 2025–26
output per engineer with agentic AI tools
Anthropic internal study, August 2025of AI-assisted work = entirely new capabilities
that wouldn't have been attempted without it
Sequoia Capital now underwrites for “agentic leverage” — the ability of small, technically fluent teams to produce outsized output through AI orchestration.
MIT NANDA study, 2025. 150 interviews, 300 AI applications assessed.
“Brittle workflows, lack of contextual learning, and misalignment with day-to-day operations”
— MIT, on why enterprise AI fails“This isn't a story about AI being broken. This is organisational failure disguised as technology failure.”
— Harvard Business Review, 2025Most investment goes to platform procurement, not workflow transformation. Teams experiment without frameworks. The tools work. The implementation doesn't.
Harvard research shows AI dramatically accelerates knowledge work — but cannot turn non-experts into experts. The gains go to skilled professionals who know how to direct AI within their domain. That convergence of AI fluency and medical communications expertise is exactly what Ceres provides.
Whether you're exploring AI adoption or ready to redesign your workflows, we'd welcome the conversation.