Applied AI & software studio
Build smarter systems.
AI, automation, and software for complex business operations.
What we build
Four capabilities, one system.
AI & Agents
Enterprise AI systems, intelligent agents, RAG, orchestration, workflow automation, and LLM-powered internal tools.
Software Engineering
Production-grade applications, APIs, integrations, distributed systems, and internal platforms.
Commerce & Financial Automation
Systems that connect commerce, payments, accounting, ERP, and operational workflows.
Technology Advisory
Architecture, AI strategy, technical leadership, systems modernization, and product engineering.
Technologies we work across
Member of the Shopify Partner program
Product
We build and run our own software.
Not only client work — Tamworks builds and operates its own products, starting with YakLedger.
Financial intelligence for modern commerce.
Reconcile payouts, explain variances, automate accounting workflows, and turn fragmented commerce settlement data into financial intelligence.
Explore YakLedgerHow we think
We build systems,
not demos.
AI is most valuable when it becomes part of real operational workflows — not a slide, not a proof of concept that never ships.
We combine software engineering, AI, data, and domain knowledge to build systems that are reliable enough to run real businesses.
Engineering first
Build systems that are maintainable, observable, and reliable.
AI where it matters
Use AI where reasoning creates leverage — not where deterministic software works better.
Operationally grounded
Technology should fit how people actually work.
Own the outcome
Architecture, implementation, deployment, and iteration are treated as one system.
Ask Tamworks
Describe the problem. We'll show you the shape of the solution.
We spend hours reconciling Shopify payouts against our ERP.
That sounds like a reconciliation workflow. We'd typically ingest settlement data, normalize transactions, reconcile them against your ERP clearing accounts, identify variances, and use AI to explain the exceptions.
Related product: YakLedgerOur operations team spends hours manually investigating exceptions.
This is a strong use case for an agentic workflow: deterministic systems handle the transaction logic while AI investigates ambiguous exceptions and presents recommended actions to operators.
Writing