From Analyst to Architect: Learn how to design agentic workflows for social intelligence
This course helps you step back and plan where automation can support your social intelligence workflow. So you can decide what to automate, what to keep human, and how the two work together.
Developed in partnership with Pulsar, this 6-hour live training programme will help you spot automation opportunities and describe them with precision.
Rethinking how social intelligence workflows are structured
Most social intelligence workflows are built as a series of tasks. But the work itself is made up of decisions, like what to monitor, how to interpret it, and when to act.
This course helps you break that down and redesign it. So you can decide where AI fits, where it doesn’t, and how the two work together.
Where automation actually helps
Not every task should be automated. Learn how to identify where AI can support your workflow, and where it introduces risk or noise.
Where human judgement still matters
Some decisions shouldn't be delegated. Understand where human interpretation is critical, and how to stay in control of the work.
Who is this for?
This course is for people already working with social data who want to identify where automation can fit into their work.
You work hands-on with social data
You run queries, analyse conversations, and build outputs. You’re starting to question how sustainable that workflow is, and what could change.
You’re responsible for how the work gets done
You manage workflows, outputs, or teams. You need a clearer way to decide what should be automated, what shouldn’t, and how to structure the work going forward.
You’re already exploring AI in your work
You’ve tested tools or workflows, but results are inconsistent or hard to trust. You want a more structured way to think about where these tools actually fit.
Course modules
Three live, virtual sessions designed to help you rethink your workflow, redesign it, and apply it in practice.
You already monitor, refine, interpret, and explain what’s happening in social data. In this session, you’ll step back and map that work in a new way. You'll break it down into tasks, decisions, and judgement points. Then you’ll be introduced to a simple framework for how this work can run as a system, and apply it to your own workflow to see where repetition exists, where judgement matters, and how everything connects.
In the first session, you map your workflow, and in session two, you start to build it. You’ll take a real example and see how different parts of the work connect. Like, what runs continuously, what gets triggered, and where decisions need to be made. Then you’ll redesign your own workflow, structuring it as a system that combines automated steps with clear points of human judgement.
Designing a workflow is one thing, but applying it in your work is another. In this session, you’ll focus on what’s realistic. You'll identify where changes can be made safely, where more care is needed, and what shouldn’t be touched. At the end, you’ll leave with a clear, practical plan for how to evolve your workflow, with defined steps you can take back into your team or organisation.
What you'll achieve
Certification Leaders
Leader Name
As the founder of Pulsar and a PhD in immersive media and the evolution of online audiences, Francesco has spent two decades at the forefront of AI-driven audience research, advising global organisations including the United Nations, the WHO, Meta, and Google. He leads the development of Pulsar's agentic AI and narrative intelligence platforms, making him one of the most authoritative voices on the course's core themes of agent design and social intelligence.
Leader Name
A Social Intelligence Lab "Insider 50" winner and Director of Research Innovation at Pulsar, Deanna specialises in designing and deploying custom machine-learning models and novel methodologies on social data, including leading a landmark 100+ campaign study in partnership with X (formerly Twitter). Her work sits at the precise intersection of AI capability and human analytical rigour that this course is designed to teach.
Leader Name
As the founder of Pulsar and a PhD in immersive media and the evolution of online audiences, Francesco has spent two decades at the forefront of AI-driven audience research, advising global organisations including the United Nations, the WHO, Meta, and Google. He leads the development of Pulsar's agentic AI and narrative intelligence platforms, making him one of the most authoritative voices on the course's core themes of agent design and social intelligence.
Leader Name
A Social Intelligence Lab "Insider 50" winner and Director of Research Innovation at Pulsar, Deanna specialises in designing and deploying custom machine-learning models and novel methodologies on social data, including leading a landmark 100+ campaign study in partnership with X (formerly Twitter). Her work sits at the precise intersection of AI capability and human analytical rigour that this course is designed to teach.
Leader Name
As the founder of Pulsar and a PhD in immersive media and the evolution of online audiences, Francesco has spent two decades at the forefront of AI-driven audience research, advising global organisations including the United Nations, the WHO, Meta, and Google. He leads the development of Pulsar's agentic AI and narrative intelligence platforms, making him one of the most authoritative voices on the course's core themes of agent design and social intelligence.
Leader Name
A Social Intelligence Lab "Insider 50" winner and Director of Research Innovation at Pulsar, Deanna specialises in designing and deploying custom machine-learning models and novel methodologies on social data, including leading a landmark 100+ campaign study in partnership with X (formerly Twitter). Her work sits at the precise intersection of AI capability and human analytical rigour that this course is designed to teach.
Register
Places on the first cohort are limited to 25 participants.
If you’d like to be part of the group, please apply below. We’ll confirm places based on experience and fit for the course.
This course is accredited by the CPD Standards Office. Participants will receive a certificate confirming 7 hours of CPD learning.
FAQs
apply to joinTo keep the sessions focused on practitioner needs, this training is reserved for those working directly with social and internet data within organisations or as independent practitioners. Technology partners are involved in a different way through the Innovation Challenge itself.
The training is free to attend.
The training will be delivered live across three virtual sessions. Each session runs for two hours and will be hosted online via [platform]. Session dates and times will be shared once your place is confirmed.
No. This is an educational programme designed to help you rethink how your work is structured. It is not a sales-led session, and there will be no product pitches.
No technical background is required becasue this course is designed for practitioners. The focus is on how to structure your work and make decisions about where AI fits (not how to build or code systems).
This course assumes you already work with social or internet data.It won’t cover the basics of social listening. Instead, it focuses on how to rethink and evolve existing workflows.
There are three live sessions, each lasting two hours. You’ll also be asked to bring a real example of your own workflow to work on during the sessions.
Yes. By the end of the course, you’ll have a structured view of your own workflow and a clear plan for how to evolve it. It will all be based on your own work, not a generic example.
This training is the starting point. It gives you the structure and language needed to take part in the upcoming Social Intelligence Innovation Challenge, where these ideas are applied and developed further.
Participants will have the opportunity to apply what they’ve developed into the Innovation Challenge. Further details on how to participate will be shared during the course.