We follow the work, not the sector.
Our clients cluster in industries where the work is rules-heavy, high-volume, and measurable, because that is where AI-run operations pay back fastest and most provably.
Financial Services & FinTech
Reconciliation, onboarding, KYC document processing, dispute handling, regulatory reporting. This is home ground: our founder spent six years inside Mastercard leading API-first programs across payments, open banking, and digital wallets, and the instincts formed there shape how we build for this sector.
Document-heavy onboarding and back-office reconciliation.
Insurance
Claims intake and triage, policy document processing, standard-lines underwriting support. The work is dense with rules, the workforce is aging out faster than it is being replaced, and outsourcing is already mature, which makes the baseline unusually easy to measure.
Claims triage and first-notice-of-loss.
E-Commerce & Retail
Catalog operations, service resolution, order exception handling, and conversational commerce on WhatsApp and Meta channels, where our Meta partnership gives us platform depth most integrators lack.
Support resolution and catalog data operations.
Healthcare Operations
The administrative layer, deliberately not the clinical one. Billing workflows, prior-authorization paperwork, coding support, patient communications. People assume healthcare is all judgement; the billing layer is mostly rules, and it is drowning.
Revenue-cycle document processing.
Enterprise IT & Shared Services
Ticket triage, user provisioning, alert handling, knowledge management. The same intelligence work, running on repeat, across thousands of near-identical environments.
L1 automation and request fulfillment.
Professional Services
Research, drafting, compliance checks, and report production for firms whose product is knowledge work itself. These clients understand the intelligence-versus-judgement distinction immediately, because they live on the judgement side of it.
First-draft production and recurring reporting.
The pattern matters more than the sector.
A workflow that is well-defined, high-volume, and expensive is a candidate wherever it lives. Bring it to a session and we will give you a straight answer on readiness, including, sometimes, the answer that AI is not ready for it yet.