Communications
Work with a communications lead to shape your narrative, prepare spokespeople and coordinate agreed media outreach and campaign activity.
Start with the outcome. Build the workflow around it.
Start with retained campaign delivery, build workflows around your team, or learn to build and deploy them yourself. Every engagement uses Merlin’s agentic infrastructure, with shared brand knowledge, clear objectives and human approval of strategy and external communications.
How intelligence supports a communications campaign.
See how context, governance and task-specific agents support research, preparation and reviewed action. This campaign example illustrates one application of Merlin’s approach.
Three ways to begin. One connected infrastructure.
- Work with Merlin
- Agree your objectives, campaign priorities and retainer. Merlin plans and delivers the programme, reviews results and carries useful knowledge into the next cycle.
- Build with Merlin
- Choose a campaign or repeated task. Merlin builds and tests dedicated workflows around your sources, brand knowledge and approval routes, then supports your team in using them.
- Train with Merlin
- Bring a real communications task. Your team learns to design, build, test and deploy an agentic workflow, then review its outputs and improve it.
See the everyday work behind a media opportunity.
Follow a market signal through campaign planning, reviewed outreach, monitoring and learning for the next campaign.
Explore the Signal-to-Action exampleThe Merlin Operating Loop
Keep your campaign and supporting workflows connected to the same objective. Each cycle gives your team evidence to decide what to improve, where to focus and what to do next.
Agree the objective and starting evidence. Define the first useful output and its supporting tasks. Test the workflow, review its findings and approve the next action.
Signal-to-Action describes an individual workflow. The eight-stage Operating Loop below guides the wider engagement, from setting objectives to evaluating outcomes and retaining reviewed learning.
- 01
Set Objective
Agree the outcome and owner.
- 02
Diagnose
Find the evidence gap.
- 03
Engineer
Prepare the narrative and evidence.
Human approval before release - 04
Amplify
Release approved communications.
- 05
Monitor
Track the agreed signals.
- 06
Evaluate
Review outcomes against the objective.
- 07
Learn
Retain evidence and corrections.
- 08
Repeat
Start again with reviewed context.
Carried through every cycle
Persistent context
Evidence, approved decisions and reviewed learning.
Repeat returns to Set Objective.Humans approve consequential action.
Agree what progress means before work begins.
Agree what progress means before work starts. Review the quality and usefulness of the intelligence alongside preparation time, human effort, corrections and campaign outcomes. Use the findings to decide which activities and workflows to keep, refine or stop.
Evidence and measurement standards
Report the starting condition, evidence used, action, outcome, period and limitations. Separate contribution from causation.
Share of Model measures appearance within a defined set of AI queries. It does not guarantee inclusion or prove commercial impact.
Expertise alongside you. Direction stays with you.
Get communications and technical support around the same objective, so your campaign and the capability behind it develop together.
Technical delivery
Work with an engineer to turn repeated tasks into tested workflows, with documentation and guidance for your team where included in your scope.
Your team
Set priorities, challenge recommendations and approve material decisions. Keep your expertise focused on the choices and relationships that need it.
Greater human agency means more than signing off work. It means having the knowledge, time and freedom to explore options and shape what happens next.
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