The next chapter for employee communications starts with this one.
Your team is expected to drive change, align employees and prove impact. AI brings new possibilities, but making them useful takes capacity and senior expertise.
Signal Intent helps you untangle channels, put AI to work and equip your team for what comes next, from focused audits and team training to redesigned workflows and operating models.
Employee communications will change more in the next three years than it has in the last thirty.
The choices you make now about channels, knowledge, skills and AI will shape what your function can do next. We help you solve today’s problems while building toward that future.
A structured diagnosis of how your communications function works and where AI can make a useful difference. Leave with a clear assessment, prioritized opportunities and recommended next moves.
A tailored session for communications teams, built around real work. Explore useful applications, practice with relevant tools and leave with clear next steps for your team.
Assess how your channels serve employees and your organization. Understand overlap, gaps and governance, with practical recommendations for what to keep, change or stop.
Untangle channels, intranets and organizational knowledge. Improve how employees find reliable answers, with clearer content, ownership and governance. Make SharePoint, Teams and your wider digital workplace work together.
Put AI to work on the challenges your team actually faces. Practical training and hands-on enablement build confidence with tools, workflows and the judgment needed to use them well.
Decide what communications should become as AI changes the work. Rethink roles, priorities, workflows and operating models, then build a practical path from today’s function to the next.
Build an agent that answers a recurring employee question. Redesign a workflow that consumes hours every week. Improve an intranet, rethink your channel strategy or reshape your communications operating model.
We can take on a focused project or work alongside your team for a period. Where specialist implementation is needed, we can work with your technology teams and relevant partners.
Each engagement is different. The pattern is consistent: leaders get answers they couldn't get before, and teams get systems that keep working after we're gone.
Future state design
A global media company built the wrong comms function after an AI rollout. We helped them redesign it.
Output dropped. Impact increased. The function moved from content machine to editorial and advisory layer.
A global media company didn't know what its communications function should look like after an AI rollout, so it built the wrong one.
They had invested significantly in AI content tools and given their team access. Twelve months later, productivity had increased and quality had dropped. The team was producing more, faster, with less editorial judgment involved in any of it.
The problem wasn't the tools. It was that no one had defined what the human role in communications was supposed to be once AI handled production. Signal Intent designed the future-state model: what the team owned, what AI handled, where human judgment was mandatory, and what governance sat around the boundaries.
The function stopped running as an accelerated content machine and started operating as an editorial and advisory layer. Output dropped. Impact increased.
Future state design
A Fortune 500 technology company was restructuring its comms function without knowing what it was restructuring toward.
The restructure was completed with a rationale leadership could defend and a model the team could operate inside.
A Fortune 500 technology company was restructuring its communications function and didn't have a clear picture of what it was restructuring toward.
Leadership knew the current model wasn't working: too many people doing production work, not enough strategic capacity, no clear accountability for measurement or insight. But redesigning the function required a view of what it should become, not just what it currently was.
Signal Intent mapped the future-state operating model: the roles the function needed, the capabilities it was missing, the work that should be eliminated, and what a transition from the current state to the new one actually looked like in practice. The restructure was completed with a clear rationale that leadership could defend and the team could operate inside.
Content and channel architecture
A global telecoms company was running 35 departmental newsletters in a single month, with no governing logic connecting any of them.
Volume dropped. Impact didn't. The team stopped operating as a news desk and started operating as a strategic function.
A global telecoms company was running 35 departmental newsletters in a single month, with no governing logic connecting any of them.
Every department had built its own channel. Every channel had its own audience, cadence, and voice. Nothing connected. Employees were receiving a constant stream of messages from different parts of the organization on overlapping topics, and the communications team had no real visibility of the full picture or the capacity to do anything but keep feeding the machine.
We led an employee-first channel audit, mapping the full spread of what was being sent, to who and why. The result: a consolidated channel architecture that eliminated the noise, switched off legacy channels that had outlived their purpose, and gave the communications team actual control over what went out and when.
The team stopped operating as a news desk and started operating as a strategic function. Volume dropped. Impact didn't.
Signal-based measurement
A global technology company couldn't explain why engagement was falling, so it kept producing more content.
Sentiment improved. Leadership had a real explanation instead of a theory. The team could surface this kind of insight before it became a leadership concern.
A global technology company couldn't explain why engagement was falling, so it kept producing more content. It wasn't the fix.
Analysis of internal conversation patterns revealed that employee frustration was concentrated around one specific issue: inconsistent manager communication during a major organizational change. The fix wasn't more executive messaging. It was clearer briefing materials and sharper communication expectations at the manager layer.
Sentiment improved. Leadership had a real explanation instead of a theory. And the communications team had a measurement model that could surface that kind of insight before it became a leadership concern.
About Luke
Luke Sinclair has spent more than two decades making communications work inside complex global organizations.
His career spans American Express, LinkedIn, Microsoft and AMP, as well as strategic advisory work with a number of Fortune 500 companies. He knows what happens when an ambitious idea meets a sprawling organization: competing priorities, fractured channels, leaders who need answers, and teams expected to make it all hang together.
Luke founded Signal Intent to help leaders tackle the next question. As AI changes how information is created, found and trusted, what should the communications function become? He brings the strategic perspective to answer that question and the experience to help make it real.
Luke Sinclair / Founder, Signal Intent
Signal Intent Intelligence
Ideas worth taking into the leadership meeting.
Communications, Rebuilt sets out ten predictions about how AI will change the function, and the decisions communications leaders should start making now.