How to Work with AI Without Losing Your Mind

Rich Byard
Chief Technology Officer
I argue with AI every time I use it. And I hope you do too!
I mean this in all seriousness. I see AI created content passed as credible thought every day, it SHOUTS at me when I see it. I’m sure I’m not the only one whose spider senses tingle when I read seemingly articulate, well written documents that just slightly (but jarringly) miss the mark. So why do I argue with it when it confidently tells me a complete fabrication? Because I care! I want the person presenting this content to show their best side, not show me the result of the average of the internet however amazing that tech might be!
So let’s talk about the new star in your office life and how and why it’s both amazing and bizarre at the same time. The best analogy I could conjure up (with AI support, curated and corrected of course) would be to compare AI to a character in “The Office” (US version); A bizarre and hilarious fusion of Dwight Schrute and Oscar Martinez.
The Upside: Your Ultimate Work BFF
First, let’s give this new contributor its due. For businesses, AI is like hiring a superhero who crunches massive amounts of data in the blink of an eye, spots opportunities we might miss, and handles the grunt work nobody wants to do. This is its “Oscar Martinez” side shining through—the brilliant, know-it-all engine.
- Insane Technical Knowledge: Like Oscar, AI is a walking encyclopedia. Ask for quarterly projections or the history of paper manufacturing, and it spits out a perfectly structured answer in seconds. It’s the ultimate resource for raw data.
- No More Guesswork: AI helps companies make killer decisions based on cold, hard facts. It’s got that “well, actually…” persona, shutting down illogical ideas with pure data.
- Personalization on Point: AI’s efficiency is why you get ads for things you actually want. It’s a little creepy, but undeniably effective.
- Freeing Up the Humans: By automating the boring stuff – its inner Dwight Schrute obsessed with rules and efficiency – AI lets employees focus on the fun, creative, big-picture thinking that machines can’t do.
From a business perspective, it’s a no-brainer. Embracing AI is like switching from a horse and cart to a Rolls Royce. But what’s the trade-off for the rest of us?
The Downside: When Your Brain Takes a Break
Are we getting a little too comfortable with letting our new, hyper-efficient coworker do all the thinking? This is where the Dwight Schrute part of its personality gets weird… and a little dangerous.
This is a thing; researchers call it “cognitive offloading.” It’s what happens when you let your GPS guide you to a store you’ve been to a million times. Your brain, realizing it doesn’t have to do the work, kicks back and puts its feet up. By constantly leaning on AI to summarize articles or write our emails, we’re skipping our brain’s daily workout.
This is where AI’s Dwight-like traits become a problem:
- Literal Interpretation: You tell Dwight to “secure the building,” and he starts a fire. You ask AI to “write a fun email,” and it generates a seven-paragraph treatise on the socio-economic benefits of communal dining. It executes commands with terrifying efficiency but zero common sense.
- Supreme, Unearned Confidence in its Errors: When Dwight is wrong, he just doubles down with more absurd “facts.” This is a perfect description of AI hallucination. The AI will confidently invent a fake legal precedent or cite a non-existent study with the same unshakeable confidence as Dwight describing his perfect crime.
When we let this logic-driven, socially awkward powerhouse handle all the heavy lifting, we risk becoming great at clicking buttons but not so great at deep, critical thinking. Great system administrators but terrible creators. Are we trading our ability to analyze and create for the convenience of an instant, but possibly unhinged, answer?
Finding the Sweet Spot: How to Manage Your Dwight
So, what’s the answer? Do we switch off, go off-grid, hide in the woods? Probably not. The future isn’t about choosing between human brains and artificial ones; it’s about making them work together. The trick is to treat AI less like a magic genie and more like a clever but deeply weird sidekick. And to question everything about it!
- Boss of the Bot: Use AI to gather information, but be the one who connects the dots and makes the final call. Challenge its answers. Ask it better questions. Don’t let its smug confidence fool you.
- Keep Your Brain in the Game: Don’t just accept the AI-generated summary; read the full article. Actively engage your own mind instead of letting it atrophy.
- Embrace the “Why”: When AI gives you a solution, get curious. Dig into why it works. Use it as a launchpad for your own creativity, not a substitute for it.
Ultimately, AI is a tool. A ridiculously powerful one, but still a tool. We can harness its power to make our companies incredibly intelligent, but we have to make a conscious choice to keep our own minds engaged, curious, and challenged. We have to learn how to manage our brilliant, baffling new office helper who is both Oscar-smart and Dwight-weird.
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Comparisons
BOAT Platform Comparison 2026
Timelines and pricing vary significantly based on scope, governance, and integration complexity.
What Is a BOAT Platform?
Business Orchestration and Automation Technology (BOAT) platforms coordinate end-to-end workflows across teams, systems, and decisions.
Unlike RPA, BPM, or point automation tools, BOAT platforms:
- Orchestrate cross-functional processes
- Integrate operational systems and data
- Embed AI-driven decision-making directly into workflows
BOAT platforms focus on how work flows across the enterprise, not just how individual tasks are automated.
Why Many Automation Initiatives Fail
Most automation programs fail due to architectural fragmentation, not poor tools.
Common challenges include:
- Siloed workflows optimised locally, not end-to-end
- Data spread across disconnected platforms
- AI added after processes are already fixed
- High coordination overhead between tools
BOAT platforms address this by aligning orchestration, automation, data, and AI within a single operational model, improving ROI and adaptability.
Enterprise BOAT Platform Comparison
Appian
Strengths
Well established in regulated industries, strong compliance, governance, and BPMN/DMN modeling. Mature partner ecosystem and support for low-code and professional development.
Considerations
9–18 month implementations, often supported by professional services. Adapting processes post-deployment can be slower in dynamic environments.
Best for
BPM-led organizations with formal governance and regulatory requirements.
Questions to ask Appian:
- How can we accelerate time to production while maintaining governance and compliance?
- What is the balance between professional services and internal capability building?
- How flexible is the platform when processes evolve unexpectedly?
Cyferd
Strengths
Built on a single, unified architecture combining workflow, automation, data, and AI. Reduces coordination overhead and enables true end-to-end orchestration. Embedded AI and automation support incremental modernization without locking decisions early. Transparent pricing and faster deployment cycles.
Considerations
Smaller ecosystem than legacy platforms; integration catalog continues to grow. Benefits from clear business ownership and process clarity.
Best for
Organizations reducing tool sprawl, modernizing incrementally, and maintaining flexibility as systems and processes evolve.
Questions to ask Cyferd:
- How does your integration catalog align with our existing systems and workflows?
- What is the typical timeline from engagement to production for an organization of our size and complexity?
- How do you support scaling adoption across multiple business units or geographies?
IBM Automation Suite
Strengths
Extensive automation and AI capabilities, strong hybrid and mainframe support, enterprise-grade security, deep architectural expertise.
Considerations
Multiple product components increase coordination effort. Planning phases can extend time to value; total cost includes licenses and services.
Best for
Global enterprises with complex hybrid infrastructure and deep IBM investments.
Questions to ask IBM:
- How do the Cloud Pak components work together for end-to-end orchestration?
- What is the recommended approach for phasing implementation to accelerate time to value?
- What internal skills or external support are needed to scale the platform?
Microsoft Power Platform
Strengths
Integrates deeply with Microsoft 365, Teams, Dynamics, and Azure. Supports citizen and professional developers, large connector ecosystem.
Considerations
Capabilities spread across tools, requiring strong governance. Consumption-based pricing can be hard to forecast; visibility consolidation may require additional tools.
Best for
Microsoft-centric organizations seeking self-service automation aligned with Azure.
Questions to ask Microsoft:
- How should Power Platform deployments be governed across multiple business units?
- What is the typical cost trajectory as usage scales enterprise-wide?
- How do you handle integration with legacy or third-party systems?
Pega
Strengths
Advanced decisioning, case management, multi-channel orchestration. Strong adoption in financial services and healthcare; AI frameworks for next-best-action.
Considerations
Requires certified practitioners, long-term investment, premium pricing, and ongoing specialist involvement.
Best for
Organizations where decisioning and complex case orchestration are strategic differentiators.
Questions to ask Pega:
- How do you balance decisioning depth with deployment speed?
- What internal capabilities are needed to maintain and scale the platform?
- How does licensing scale as adoption grows across business units?
ServiceNow
Strengths
Mature ITSM and ITOM foundation, strong audit and compliance capabilities. Expanding into HR, operations, and customer workflows.
Considerations
Configuration-first approach can limit rapid experimentation; licensing scales with usage; upgrades require structured testing. Often seen as IT-centric.
Best for
Enterprises prioritizing standardization, governance, and IT service management integration.
Questions to ask ServiceNow:
- How do you support rapid prototyping for business-led initiatives?
- What is the typical timeline from concept to production for cross-functional workflows?
- How do licensing costs evolve as platform adoption scales globally?
