AI from pilot to operations.
AI strategy, transformation, automation and governance — with the same engineering we use in our own products.
AI Strategy
Where AI drives results in your business, prioritized by impact and risk.
AI Transformation
From pilot to scale: processes, data, teams and metrics.
AI Automation
Agents and workflows that do real work, with control and traceability.
AI Governance
Policies, audit trails, privacy and continuous evaluation.
Where we have built.
Finance & controls
Internal controls, audit, valuation, FP&A and shared service centers.
Problems we know how to solve.
Architecture patterns, described without client, industry or data.
Accounting reconciliation at scale
Streaming matching engine for large open-item bases, with diagnostics, dashboard and ERP-ready export.
Expense reimbursement automation with agents
Structural validation of expenses, policy rules, approval SLA and an audit trail for every AI decision.
AI-assisted internal controls and investor relations
Specialist agents over financial data and documents, with governed SQL queries and guardrails.
Document classification with LLMs
Batch receipt classification with caching, test samples and human review of exceptions.
What goes into the system.
Agents and automation
- Multi-agent orchestration (planner / executor / verifier / router)
- Tool use: APIs, data, payments, email, WhatsApp, calendars, ERP/CRM
- Guardrails: scope, policies, validation, fallback
- Observability: tracing, cost, latency, error rate, quality
Multimodal: text, documents, vision and voice
- Document understanding (contracts, invoices, reports, PDFs)
- Applied vision (classification, catalog, quality, visual workflows)
- Voice: transcription, summarization, voice agents, automation
- Brand-governed content and editorial consistency
RAG and knowledge in production
- Hybrid RAG (vector + keyword + rerank)
- Knowledge versioning and continuous updates
- Grounding and auditable answers
- Tenant- and role-based security
LLMOps · Evals · AI FinOps
- Automated evals (quality, factuality, safety)
- Regression monitoring (prompt/model)
- Cost control per tenant/feature
- Feature flags and safe rollouts
Security and governance
- Privacy by design, minimization, retention
- PII scrubbing, traceable logs with rationale
- Multi-tenant isolation (RLS / namespaces)
- Auditability: who asked, what was produced, why, and from which sources