Engineering7 min read
How to evaluate an AI agent before trusting it with real work
A convincing demo doesn't mean an agent will work with your data, your edge cases, and your constraints.
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Agentic Insights
Field notes from production
How we design, ship, and run AI agents that survive contact with real businesses. Engineering deep dives, case studies, and the unglamorous parts nobody writes about.
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Engineering6 min read
Why most AI agents never make it past the demo
The demo always works. The version that runs your business is a different problem, and it's almost never the model that kills it. Here are the four things that do.
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21 articlesEngineering7 min read
Guardrails for production agents: approvals, limits, and fallbacks
Without guardrails, your agent will make decisions you didn't anticipate and can't control. Here's how to prevent that.
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Security8 min read
How AI agents handle compliance-heavy workflows
Compliance and autonomy seem to conflict. They don't. Here's how AI agents work in regulated environments.
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Engineering8 min read
The difference between automation and true autonomy
Automation follows a fixed path. Autonomy makes decisions in real time. That distinction changes how you build.
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Automation8 min read
How to automate accounts payable and invoice reconciliation end to end
Invoice processing doesn't have to be manual busywork. Automating AP from receipt to payment saves weeks of work every month.
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Automation7 min read
Automating appointment scheduling without a human in the seat
Phone scheduling is one of the last manual bottlenecks in customer ops. Automation handles it 24/7 without burnout or errors.
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Engineering7 min read
How agents stay reliable: evals, tests, and feedback loops
An agent in production needs to prove it works before deployment and stay accurate after. Here's how teams measure and maintain agent reliability.
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Engineering7 min read
How AI agents use tools, memory, and context to get work done
Agents don't know anything unless you give them tools, memory, and context. Here's how those three pieces work together.
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Strategy8 min read
Build vs buy: when to use off-the-shelf AI and when to build custom
No-code platforms are fast and cheap upfront. Custom systems win where integration depth and control matter. Here's how to choose.
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Strategy7 min read
Change management: getting your team to actually adopt AI
Automation fails when people don't trust it or don't understand it. Here's how to build adoption from day one.
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Industry7 min read
AI agents in HR: screening, onboarding, and the busywork
HR teams spend half their time on intake and paperwork. AI handles the repetition so they focus on hiring and culture.
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Industry7 min read
AI automation for telecom: where it pays off first
Telecom operations run on repetitive workflows. AI handles the ones that bleed the most money and time.
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Product5 min read
24/7 phone coverage without hiring a night shift
Hiring night shift staff costs $50,000+ a year. An AI receptionist costs a fraction of that and actually works the entire night.
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Product5 min read
How AI handles after-hours and overflow calls
When your team can't answer, an AI receptionist picks up seamlessly. Here's what actually happens to after-hours and overflow calls.
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Guides6 min read
AI agents vs RPA: which one does your job need?
RPA and AI agents both automate repetitive work, but they solve different problems. Here's how to choose between them.
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Security7 min read
Why audit trails matter for autonomous systems
Audit trails are not compliance theater. They're the only way to know what your autonomous system actually did.
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Case study8 min read
How we'd automate a telecom's tier-1 support
Building an AI agent to handle billing questions, service outages, and password resets so humans can focus on actual problems.
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Case study8 min read
How we'd automate a clinic's entire front desk
Automating appointment booking, insurance verification, patient intake, and follow-ups without any staff time.
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Case study7 min read
How we'd deploy an AI receptionist for a multi-location business
Running multiple locations means multiple phone lines, multiple voicemail boxes, and customers who don't know which location to call. Here's how helohi handles it.
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Strategy7 min read
The Algo & Art approach to getting AI into production
We've learned what works and what doesn't from shipping dozens of AI systems. Here's the approach we take to get yours live safely and reliably.
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