Is Your Monday.com Board a £200/Month Museum Piece?

Your project manager just spent an hour updating a colour-coded board on Monday.com. That hour cost your business approximately £45 in salary and overheads. In that time, they dragged some virtual cards, tagged three people, and typed 'Any update on this?'. The fundamental work, however, remained untouched. This isn't productivity. This is the performance of productivity.

Welcome to the great illusion of modern knowledge work. The SaaS platforms we bought to make us more efficient—the Mondays, Asanas, and Trello boards of the world—have become exquisite, expensive digital filing cabinets. For a team of ten, a Monday.com Pro plan runs to nearly £2,100 per year. For what? To manually document work that should, increasingly, not be done by humans at all.

These platforms are becoming museum pieces, beautifully designed relics from the pre-AI era. They are a testament to a time when the peak of innovation was creating a better system for humans to remind other humans to do things. That time is over.

The £10 Billion Tax on 'Work About Work'

The dirty secret of project management software is that its primary function is to create and manage 'coordination overhead'. This is the work you do about the work: the check-ins, the status updates, the reporting, the chasing. It is a tax on collaboration.

Industry estimates from a recent report by a Big Four consultancy suggest this 'meta-work' accounts for up to 40% of the activity within these platforms. Extrapolating this across the UK's service-based economy points to a staggering inefficiency cost, plausibly exceeding £10 billion annually in lost productivity. We are paying for software that encourages us to spend almost half our time talking about work instead of doing it.

Consider a mid-sized UK marketing agency. Their Monday.com board is a riot of colour, a testament to 'busyness'. A card is created: 'Draft Q3 social media posts for Client X'. This triggers a chain of manual human actions:

1. A manager assigns it to a junior copywriter.
2. The copywriter asks for the brief in the comments.
3. The manager uploads the brief.
4. The copywriter drafts the posts in a separate document.
5. They return to Monday.com, upload the doc, and drag the card to 'For Review'.
6. The manager reviews, leaves comments, and drags it back to 'In Progress'.

Each step is a notification, a context switch, a moment of friction. The platform isn't executing the work; it’s merely a passive, glorified to-do list that requires constant human gardening. It is a ledger of human latency.

The Great Unbundling of the Project Manager Role

This is where the debate over AI vs human roles gets interesting, and where the contrarian take emerges. The threat of AI isn't that it will replace the project manager. The threat is that it will make the worst parts of their job entirely obsolete, forcing a radical re-evaluation of their purpose.

For decades, the project manager's role has been a bundle of distinct functions:

• Strategist: Defining project goals, allocating resources, managing risk.
• Stakeholder Manager: Communicating with clients, executives, and teams.
• Problem Solver: Navigating unforeseen roadblocks and conflicts.
• Administrative Coordinator: Chasing updates, scheduling meetings, reminding people of deadlines, compiling reports.

The value is in the first three. The cost—in both salary and morale—is in the last one. Monday.com and its peers primarily serve the administrative coordinator function. Agentic AI, however, is poised to consume it whole.

An 'AI agent' isn't just a chatbot. It's an autonomous system designed to execute multi-step processes. It can interact with software, read documents, send emails, and make decisions based on pre-defined rules. It shifts the paradigm from a human using software to the software being a user—an autonomous digital employee.

At Creative Agent, we've seen a decisive shift in client briefs away from building mere dashboards and towards creating 'Agentic Workflows'. The demand is no longer for a better way to visualise a problem, but for an autonomous system to solve it. Businesses are waking up to the fact that tracking a task is a low-value activity. Executing it is everything.

A Practical Example: The AI Procurement Agent

Instead of a Monday.com board to track a new laptop purchase, imagine this workflow:

1. A manager fills out a one-line form: 'New MacBook Pro for Jane Doe, software engineering team'.
2. An AI agent is triggered. It accesses the company's HR system to confirm Jane's role and seniority level, checks the pre-approved equipment list, and verifies the department budget in the accounting software (e.g., Xero).
3. The agent logs into the procurement portal (e.g., Misco or CDW), selects the correct model, and places the order for delivery to the office.
4. It creates a calendar event for the IT department to set up the machine on its delivery date and sends a confirmation email to the manager and Jane.
5. Finally, it logs the £1,800 expenditure against the correct cost centre, attaching the PO number automatically.

There is no Monday.com card to drag. There are no follow-up comments. The task never existed from a human coordination perspective. It was simply executed. The human project manager is freed up to negotiate the enterprise software contract that will save the company £100,000, not chase the status of a £1,800 laptop.

The Compliance Paradox: Can an AI be More Compliant than a Human?

Here in the UK, the immediate pushback is predictable: what about compliance? What about GDPR, data security, and accountability?

This is the paradox: a well-designed, auditable AI agent can be demonstrably more compliant than a fallible, busy human. Humans forget. Humans cut corners under pressure. Humans have bad days.

• Auditability: Every single action taken by an AI agent is logged immutably. You have a perfect, time-stamped record of every decision, every data access, every API call. Can you say the same for every action a project coordinator takes across emails, Slack, and spreadsheets?
• Rule Adherence: An AI agent can be programmed with the strictures of GDPR. It will never accidentally share personally identifiable information (PII) in the wrong Slack channel. It can manage Subject Access Requests (SARs), ensuring they are fulfilled within the statutory 30-day limit, a task that is a notorious administrative headache for UK firms.
• Data Sovereignty: By using UK-hosted cloud infrastructure and carefully designed agents, businesses can ensure data processing remains within the country's borders, satisfying regulatory requirements far more reliably than using a global SaaS platform with opaque data residency policies.

A pilot study within an NHS trust in the Midlands provides a compelling case. It found that an AI agent, designed to manage outpatient appointment scheduling and follow-ups, could automate 60% of the administrative tasks currently tracked on a shared digital board. More importantly, it eliminated common errors like sending appointment details to the wrong contact number, a significant data breach risk, by cross-verifying against the central patient record system in real-time.

The Future Isn't a Better Gantt Chart

The logical endpoint is clear. The value of these project management platforms will evaporate as the tasks they track are automated. Paying hundreds or thousands of pounds a month for a system to manually monitor work that an AI can do for a fraction of the cost will soon seem ludicrous—like paying for a premium horse and carriage service in the age of the automobile.

The discussion about AI vs human roles needs to mature beyond the facile fear of replacement. It's about augmentation and abstraction. We are abstracting away the low-value, repetitive, administrative labour that has accreted around knowledge work, allowing humans to focus on the complex, creative, and strategic problems that remain.

The future of project management isn't a slicker interface or a new type of chart. It’s an invisible, autonomous layer of digital labour that simply gets things done. Your Monday.com board might look nice on a screen in the office, but it's fast becoming a beautiful, functionless artefact. A museum of how we used to work.