phavella · custom AI systems
We build the AI layer that sits over your ERP, CRM, and ops stack. For established operations that would rather layer than migrate.
Median across recent shipped engagements
Proof
Outcomes from the bench's production work · case studies are anonymized, bench backgrounds name the original employer, not a phavella client.
Risk portfolio managed
Bench background · Drip Capital
Customers decisioned monthly
Bench background · Citibank N.A.
Documents indexed in production
Bench background · Elasticsearch at scale
Production automations shipped
Bench background · 12 industries
Weekly ad output
Case study · AI Video Ad Production
Misclassification rate
Case study · AI Finance Operations
What we deliver
AI categorises invoices, transactions, and entities at the same source-of-truth your finance team already uses. The CFO reviews the queue of edge cases; the routine 90% never reaches a human at all.
~10% → ~1% on QuickBooks ledgers
See it in finOSForensics on competitor creative, AI-assembled scripts, ElevenLabs voiceover, and a creative lead reviewing the finished variant before it ships to Meta. The cycle that used to be a week.
5–9 days → 24 hours, weekly 5× variant output
See it in mediaOSSame accuracy, sixteen-times throughput, by changing the surface from one-at-a-time to group-by-similarity. The interaction-design rules we keep coming back to in every approval queue we ship.
12/hr → 200/hr, override rate held flat
Read the interaction rulesBench previously at
Senior-engineer backgrounds, not implied phavella clients
Decision flow
Routine decisions auto-execute. Consequential ones route to a named reviewer with the flags the system raised, the source data attached, and a clean record of how it resolved. The split is configurable per workflow.
Refund $4,820 to ACME Corp.
FlaggedControllerMaya R.
Every phase has a named deliverable. Build commits to a schedule. Operate hands the system to your team with runbooks, dashboards, and SLAs in place.
Operating audit + bottleneck map
Solution sketch + clickable prototype + SOW
Production system in your stack + handoff
SLAs · runbooks · tuning · on-call
Selected work + capability
The hero card is real production work. The capability cards describe the system we would build for an operation in that shape, sized and scoped against accuracy, efficiency, and availability targets.
Sits over Google Workspace + Slack + your meeting stack
Outcome
Context disappears when meetings happen faster than people can write them down. We index transcripts, decisions, and threads so a senior can answer "what did we promise the COO last quarter?" in one query · and action items only ship once the account lead has signed off.
Sits over QuickBooks + Plaid + Stripe
Outcome
The CFO of a $25M run-rate operation spends a third of every week wrangling numbers. We sit a unified ledger over QuickBooks, Plaid, and Stripe; the controller reviews categorization edge cases; the CFO signs off on the auto-drafted investor update. Close cycles compress; reporting drift disappears.
Sits over Salesforce + Gmail + Apollo
Outcome
Reps spend 60% of the day on admin and the manager learns about a deal slip in week three. We invert it: scoring runs on every conversation, drafts land in Gmail for review, and coaching surfaces same-day instead of in the QBR. Same headcount, more pipeline through.
Sits over Shopify + Amazon + your fulfillment stack
Outcome
Stockouts on hero SKUs because nobody watched the numbers daily. Pricing right at quarter-start, wrong by quarter-end. A per-SKU per-day pricing engine operating inside merchandiser-set autoranges · anything outside the range routes to a human, copy edits route to brand before publish.
Sits over Postgres + BigQuery + your data warehouse
Outcome
14 spreadsheets, three workarounds, one analyst doing the work of three. A plain-English query layer sits over the warehouse; the analyst reviews every generated SQL before it runs against production. Decisions move from 3–5 days to same-meeting.
The surface your team uses
Every approval, every flag, every audit-trail entry lands here. The operating reality of your team, structured, with throughput and accuracy visible on the same screen.
Every engagement is led by a principal who has shipped this kind of system before, and who stays involved through Operate. The bench:
Meet the benchIndustries we build for
Click any tile for the operating reality, the bottleneck shapes, and the workflows we ship there.
ManufacturingProduction scheduling, supplier intelligence, and quality-control workflows that sit on top of MES and ERP, never replacing them.
Read the operating reality
Distribution & LogisticsInventory, routing, and warehouse-floor decisions backed by AI that reads from your WMS, TMS, and ERP, and writes back through approved channels.
Read the operating reality
Financial ServicesOperations intelligence on top of your accounting, banking, and reporting stack. Auditable by default. No autonomy on anything regulators care about.
Read the operating reality
DTC & RetailDemand forecasting, dynamic pricing, ad production, and customer intelligence on top of Shopify, Amazon, and your fulfillment stack.
Read the operating reality
Healthcare OperationsBack-office and revenue-cycle workflows for healthcare operations, never clinical, always with a credentialed reviewer in the loop.
Read the operating reality
Professional ServicesKnowledge intelligence, proposal workflows, and engagement-margin tools for firms that bill on time, expertise, or both.
Read the operating realityWhat we do not do
Talk to us
Reply within two business days. We will either propose a 2-week Discovery or tell you why we are not the right fit.