Insights
Insights: agentic AI for operations teams
These are the patterns we see when we look at real B2B workflows: where teams burn hours, which agent shapes actually ship, and what changes once an agent is live. Practical, opinionated, and written for the operator and the buyer, not the keynote slide. Each article tries to teach you one thing you could apply on Monday morning, with the named systems and real numbers attached.
What we write about, and why
Most writing about AI agents is either too abstract to act on or too specific to one demo to learn from. We write the middle: the recurring shapes we see across logistics, healthcare, legal, banking, retail, manufacturing, insurance, real estate, and recruitment. Each article tries to teach you one thing you could apply on Monday morning, and to be candid about the constraints we have run into rather than the headline number we would like to put on a slide.
All articles
Latest writing
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Opinion
Why AI pilots quietly kill agent projects, and what to ship instead
AI pilots feel safe: small budget, fixed end date, low-stakes demo. They are also where most agent projects quietly die. Here is what to ship instead.
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Methodology
The four questions we ask before building any agent
Four scoping questions Synarsi runs every prospective agent build through. The third question kills roughly seventy per cent of ideas. Better to know now.
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Observation
The hidden cost of cross-system reconciliation in B2B operations
Cross-system reconciliation is the invisible workflow draining the most hours in B2B operations. Why it hides, what it costs, and why an agent pays back fastest.
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Methodology
Writing an agent escalation policy that survives an audit
An agent escalation policy is the contract between the agent and the human. Here are the three patterns we use in production and what the audit log records.
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Recommendation
Why we recommend single-agent before multi-agent on the first build
Why we recommend single-agent before multi-agent on a first build: trust calibration is observational, operational surface area multiplies, failure modes weird.
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Patterns
The unglamorous workflows that pay back fastest
AP three-way match, claims FNOL intake, lease abstraction. The boring agent workflows nobody wants to demo, all paying back in weeks not quarters.
Want this thinking applied to your team?
Tell us the workflow that costs your team the most time. We will reply within one business day with a useful first answer. No decks, no pressure.
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