What Does It Mean to Be an AI-Enabled Account Manager?
Quick answer
An AI-enabled account manager is not someone who has replaced their judgement with a chatbot. It is someone who uses AI to pull together multiple data sources, spot signals earlier, and arrive at client meetings better prepared - so they can do the thing clients consistently say is missing: proactive strategic thinking. A deep research report I ran in Perplexity, covering ten major client-agency relationship reports from 2024 to 2026, found the same three gaps at the top every time: proactive strategic thinking, genuine business understanding, and reliable, value-demonstrating delivery. AI can help account managers get there faster. Turning the information into insight is still the account manager’s job. This post covers what that looks like in practice, with two real-life scenarios and practical advice from AI consultant Roy Murphy, co-founder of G3NR8.
Amidst all the unsettling news recently about AI risk, I decided to have a more useful conversation - and called Roy Murphy, co-founder of AI consultancy G3NR8, to talk about how AI could actually help account managers right now.
Roy helps his clients embed AI into their workflows in practical, commercial ways. What came out of our conversation was less about the technology and more about what account managers could do with it this week.
What data can an AI-enabled account manager actually access?
One of the most immediately practical uses of AI for account managers is pulling together multiple data sources, interpreting that data, and having answers at your fingertips before a client meeting.
Internal sources might include:
● CRM data
● Client call transcripts
● Slack conversations
● Google Analytics
● Email threads
● Client and project spend data from your project management system
● Time tracking data
External sources might include tools like Similarweb, Cision, Brandwatch or other competitor intelligence platforms.
You can connect AI to a huge range of these sources via APIs, which allow systems to exchange data, or via MCP (Model Context Protocol), which gives AI a standard way to connect to data and tools. Permissions, security and client data privacy still need to come first - but the infrastructure to do this is available now, not at some point in the future.
What does this look like for account managers in practice?
Roy and I both remember the nineties in agencies, when none of this was remotely accessible. Bonkers as it sounds now: there was no internet, so you used the phone and the fax machine. The only “data” available was a physical job bag and a paper trail.
Fast forward to now, and here are two real-life scenarios for what an AI-enabled account manager could do differently.
Scenario 1: You start a client meeting feeling more prepared and confident
Because you know exactly what was discussed and agreed on the last client call, you have a live project progress update, and you know your client’s competitor has just launched a new product.
You mention the launch on the call - which impresses the client - and you bring a point of view on what it might mean for your client’s positioning or campaign. You are seen as proactive. You have done in five minutes of preparation what previously would have taken an hour of digging through emails and briefing documents.
Scenario 2: You contact a client before the relationship is flagged as a risk
Because you have spotted that they are spending less, working with the agency less frequently, and taking longer to respond to emails. There is also news of leadership changes at their company that might be affecting your client’s internal position.
You reach out before the relationship deteriorates. That is the kind of early warning system that most account managers either miss entirely or catch too late.
What are clients still saying is missing from agency relationships?
I ran a deep research report in Perplexity covering ten major client-agency relationship reports published between 2024 and 2026. The top three things clients said were missing from their agency relationships were:
1. Proactive strategic thinking
2. Genuine business understanding
3. Reliable, value-demonstrating delivery
Those findings have barely changed in thirty years. What has changed is that AI now gives account managers faster access to the information that makes proactive thinking possible.
Used well, AI helps account managers find relevant information faster, spot signals earlier, and arrive better prepared. Turning that information into proactive strategic thinking still depends on the account manager.
What is Roy Murphy’s advice for account managers on AI?
Roy’s starting point was a line that stuck with me:
“You don’t learn AI. You do it.”
His practical advice for account managers:
Spend an hour a week tackling a real problem or barrier you experience in your work - using non-sensitive data to start with
Learn enough about token costs, IP and data security to hold a sensible conversation - you do not need to become a technical expert, but you need enough to ask the right questions
Become the person colleagues and clients trust to understand the business problem as well as the technology - that combination is rare and worth building
What is Roy’s advice for agency owners?
For agency owners, Roy’s advice was equally direct:
Provide approved tools and clear guardrails - so the team understands the legal implications of using personal AI accounts for client work
Give the team time to work on commercial problems - not just to play with the tools, but to apply them to real client challenges
The second point matters more than most agency owners realise. Account managers who are permanently on the reactive treadmill of delivery have no time to experiment with AI, even if the tools are available to them. Building in time is the only way the capability develops.
What does it actually mean to be an AI-enabled account manager?
It does not mean knowing every tool or being ahead of every development. It means being the person in the room who can look at a client’s situation, draw on a wider range of signals than anyone else can access manually, and ask the questions that move things forward.
The three things clients say they want most - proactive strategic thinking, genuine business understanding, and value-demonstrating delivery - are exactly the things AI makes more achievable for account managers who are prepared to use it.
As Roy said, you do not learn it by reading about it. You do it.
Summary
An AI-enabled account manager uses connected data sources to arrive better prepared, spot relationship risk earlier, and bring proactive thinking to clients before they ask for it. According to a Perplexity deep research report covering ten major client-agency studies from 2024 to 2026, the top three things clients say are missing from agency relationships are proactive strategic thinking, genuine business understanding, and value-demonstrating delivery. AI helps account managers access the information to do all three faster. Roy Murphy, co-founder of AI consultancy G3NR8, sums it up simply: “You don’t learn AI. You do it.” His advice is to spend one hour a week applying AI to a real work problem, learn enough about data security and IP to hold a sensible conversation, and become the person colleagues and clients trust to understand both the business problem and the technology.
FAQ
What does it mean to be an AI-enabled account manager?
It means using AI to connect multiple data sources - internal data like CRM records, call transcripts and project spend, and external data like competitor intelligence - to arrive better prepared for client meetings, spot relationship risks earlier, and bring proactive thinking to clients before they ask for it. The technology speeds up access to information. The judgement about what to do with it stays with the account manager.
What data sources can account managers connect to AI?
Internal sources include CRM data, client call transcripts, Slack conversations, email threads, Google Analytics, project management systems and time tracking data. External sources include tools like Similarweb, Cision and Brandwatch. These can be connected via APIs or MCP (Model Context Protocol). Client data privacy, permissions and security need to come first before any of this is set up.
What do clients consistently say is missing from their agency relationships?
A Perplexity deep research report covering ten major client-agency studies from 2024 to 2026 found three things at the top every time: proactive strategic thinking, genuine business understanding, and reliable, value-demonstrating delivery. These findings have been consistent for years. AI gives account managers faster access to the information that makes all three more achievable.
How should account managers get started with AI?
Roy Murphy’s advice is to spend one hour a week applying AI to a real problem or barrier you experience in your work, using non-sensitive data. Learn enough about token costs, IP and data security to hold a sensible conversation. Then aim to become the person colleagues and clients trust to understand the business problem as well as the technology. As Roy puts it: “You don’t learn AI. You do it.”
What should agency owners do to help their teams become AI-enabled?
Two things: provide approved tools with clear guardrails, so the team understands the legal implications of using personal AI accounts on client work, and give the team dedicated time to apply AI to commercial problems. Without protected time, account managers on a reactive delivery treadmill will not develop the capability even if the tools are available.
What is the difference between using AI and being AI-enabled?
Using AI means occasionally prompting a chatbot. Being AI-enabled means having AI connected to the data sources that matter for your clients, building habits around scanning that data, and using what you find to show up better prepared and more proactive. The tools are widely available. The difference is in how systematically you apply them to client work.
Listen to my full conversation with Roy Murphy on the Creative Agency Account Manager podcast. And if you’d like your team to build the skills to handle account growth with confidence, start by finding out more about my Account Growth Diagnostic.
What is one real problem in your account management work this week that you could spend an hour applying AI to?
