What does phavella actually build?

Custom AI systems engineered for three outcomes: accuracy, efficiency, and availability. We sit on top of the systems you already run, Salesforce, NetSuite, SAP, QuickBooks, ERP, WMS, EHR. Routine decisions auto-execute. Consequential decisions route to a named reviewer with full audit trail.

How does phavella keep accuracy at audit-grade quality?

Every consequential decision routes through a named reviewer with the flags the system raised, the source data attached, and a clean record of how it resolved. Routine decisions auto-execute. The split is configurable per workflow, with audit trail by default so you can show the regulator, the auditor, the board.

What size of business is phavella a fit for?

Any operation already running on real systems · ERP, CRM, finance stack · where the cost of a wrong autonomous decision is real. We don't gate on revenue band; we gate on whether the AI layer needs to sit over what's there. We'll tell you on the discovery call if we're not a fit and point you somewhere useful.

How does an engagement work?

Four phases: Discovery (2 weeks, operations audit + bottleneck map), Architecture (4 weeks, solution design + prototype + SOW), Build (12-24 weeks, production system + handoff), Operate (ongoing, 6-12 month contracts for tuning and monitoring).

Where do you typically ship?

Back office automation, supply chain and inventory intelligence, customer pipeline / sales operations, and finance operations. We are systems builders for operations, not strategy consultants.

Does phavella replace QuickBooks, Salesforce, or our ERP?

No. We are the layer on top. Your system of record stays your system of record; we read from it and, where you let us, write back. Migrations are out of scope on purpose.

Thinking

Worldview, not content marketing.

Essays from the bench on building AI that holds up in production. Slow cadence on purpose, we publish when we have something to say.

4: Essays published
30: Min read end-to-end
4: Categories covered
By the bench: Authored on the work, not by content marketing

Latest

PositionMay 19, 2026 · 8 min

Why human-in-the-loop beats agents in real operations.

Agentic demos look great. They lose to HITL the moment a decision has a dollar amount attached. A practical taxonomy of where the loop should close, and where it absolutely should not.

Read essay

Earlier

EngineeringMay 6, 2026
Stop ripping out the system of record.
The fastest way to wreck an established operation is to migrate the ERP on the way to "becoming AI-native." We build over the system of record, not under it. Here is the math.
6 min read →
DesignApr 22, 2026
Approval surfaces: designing the human loop.
Where the human sits in an HITL system, what they see, and how to design the queue so a single reviewer clears hundreds of decisions an hour without losing the plot.
9 min read →
EngagementApr 8, 2026
How we scope a Discovery.
Two weeks against your real systems and real operating people. What we ask, what we deliver at the end, and what makes us walk away. Doubles as a procurement document.
7 min read →

Worldview, not content marketing.

Why human-in-the-loop beats agents in real operations.

Stop ripping out the system of record.

Approval surfaces: designing the human loop.

How we scope a Discovery.