92% of businesses use AI; only 8% trust it. Maybe* closes that gap with #AIAgents that deliver like trusted colleagues. 🎓 Start free👇 maybetech.com
Most teams don’t fail with AI because the model is “too weak”. They fail because the work never makes it into production.
We’ve launched a series, #ScalingUpWithAgents, showing the same agent discipline working at two extremes: a large creative agency Liganova MaSH! and a startup groa°.
Governance first. Outcomes first. Agents delivered inside the tools teams already use. 📌
Read the launch post: maybetech.com/blog/scaling-u…#AIAgents#AIInfrastructure#UKBusiness
The discipline isn’t “can we?” It’s “should we?”
Liganova MaSH! resisted the feature-catalogue trap by staying brutally focused on what AI must achieve before picking software.
Result: admin work that used to eat billable time becomes billable again, without shrinking the team. 🔍
If you lead a UK agency or services team, read this:
maybetech.com/blog/liganova-…#AIAgents#AgencyLife#UKBusiness#LiganovaMaSH#ScalingUpWithAgents
Perplexity Computer is impressive multi-model routing, 400 integrations, long-running workflows .
But it’s a personal tool: separate accounts, no shared task library, no central view, and when someone leaves… the workflows leave too.
Maybe* is built as the team layer: shared agents, rules, oversight, work completed in your stack. maybetech.com/blog/perplexit…#AI#Execution#Perplexity
Most teams don’t fail with AI because the tech is bad, they fail because deployment gets treated like a side project.
On The FutureWeek Podcast, our CEO Polly Barnfield OBE shares what actually makes AI agents stick: clear ownership, trust, and a framework that scales beyond an “innovation corner.”
Also: measuring impact still needs a mix of signals, not one perfect metric.
futureweek.com/podcast-polly…
What process would you build an agent for first?
#AIAgents#AgenticAI#FutureOfWork
“These aren’t just experiments or prototypes - they’re execution-ready, business-first agents, built to integrate into your existing workflows and deliver results now.” - Polly Barnfield OBE, Maybe* CEO #AIQuotes#YourAI#AI#AIAgents
AI fails when it’s treated as:
❌ a replacement
❌ a bolt-on tool
AI works when it becomes a collaborative partner, handling research, drafts, and optimisation so humans can focus on judgment, creativity, and strategy.
That’s the real future of work.
🔗 Explore #TheBigAISecret research maybetech.com/blog/the-ai-im…#AIForBusiness#FutureOfWork
If the agents do the work… what are the humans for?
groa°’s answer isn’t “replace the team”. It’s cognitive partnership: agents take the continuous operational/analytical load, and retention teams get their jobs back -strategy, brand/creative meaning, experience design, and setting guardrails. ✅
maybetech.com/blog/cognitive…#AIAgents#Retention#UKBusiness#groa#ScalingUpWithAgents
🛠️ Start your AI journey with Maybe*. Identify repetitive tasks and let AI agents boost your productivity and efficiency. Simple, secure, and scalable. 🔧 maybetech.com/blog/ai-for-sm…#AI#Productivity#SMEs
Workflows wait for a trigger. Retention needs continuous observation.
That’s the difference between “automation” and real agentic intelligence - and it’s why groa° chose an agent architecture with governance-first guardrails . ✅ Click to find out more >> maybetech.com/blog/groa-agen…#AIInfrastructure#Ecommerce#UKBusiness
Tool overload isn’t the problem. Handoffs are.
ChatGPT/Claude can draft. Perplexity can research. Copilot can code. But completing real business work means: act inside your systems, follow rules, leave an audit trail, and finish the task.
Maybe* completes tasks. End to end. Inside the tools your business already runs on. Read: The Missing Layer.
maybetech.com/blog/why-ai-to…#Execution#AIAgents
"Imagine effortless tech integration - Maybe* brings seamless AI solutions to all industries. – Polly Barnfield OBE, Maybe* CEO
#AI#AISolutions#YourAI#Maybetech
Your calendar shouldn’t be a full-time job. The Maybe* Google Calendar Management AI Agent handles the scheduling mechanics in Slack/Teams: find availability, suggest slots, cancel the right meeting, and protect focus time, without accidental “edit the whole series” mistakes.
maybetech.com/blog/ai-agent-…#Productivity#AIAgents
If you’re a UK business trying to “add AI”, here’s the uncomfortable truth: buying more tools rarely fixes the capacity ceiling.
In this new series we’re comparing two real builds in parallel - from large organisation scale to survival startup context . Different worlds, same pattern: start with a proven method → hit a scaling constraint → build an agent layer that actually executes.
Full context what’s coming next 👇maybetech.com/blog/scaling-u…#AIAgents#Operations#UKBusiness#ScalingUpWithAgents
Workflows react late. groa° intervenes early.
In this worked example, groa° agents - built on Maybe* - notice engagement thinning vs a VIP’s personal baseline, diagnoses fatigue not price, and triggers early access instead of eroding margin with discounts. 🔍maybetech.com/blog/autonomou…#AIAgents#Operations#UKBusiness#ScalingUpWithAgents#groa
"The Maybe* difference: AI that speaks your brand voice, transforming insights into impactful actions". – Polly Barnfield OBE, Maybe* CEO
#AI#Data#YourAI#Maybe