By business problem, not by technology.

Legal teams spend the majority of their time on high-volume, pattern-heavy work — reviewing contracts, tracking obligations, and keeping up with changing regulation. Generic AI tools are fast but indefensible; manual work is defensible but slow.

We combine domain-tuned retrieval over your own precedents, policies, and playbooks with review workflows that keep counsel in control. Our product LawKI is the productised form of this approach; we also build bespoke systems where a custom fit is required.

• Shorter review cycles without sacrificing defensibility
• Consistent application of your house positions and playbooks
• Traceable, citation-backed outputs suitable for audit

Finance operations are document-heavy, rules-heavy, and rarely tolerant of error. Most AI tools are general-purpose and cannot meet the precision or auditability that finance teams require. The integration surface — ERP, banking, close tools — is also non-trivial.

We build task-specific agents and workflow automation that handle the repetitive work — invoice triage, reconciliation, exception handling, close support — with full traceability and a human checkpoint wherever policy demands.

• Less manual reconciliation and exception handling
• Cleaner close cycles with documented decisions
• Integration with your existing ERP and finance stack, not around it

Knowledge is scattered across wikis, drives, handbooks, and chat. Employees lose time searching for answers, repeat the same questions, and drift from policy when the answer is hard to find.

We build retrieval-first knowledge systems with citation integrity, access control by document, and a UX that encourages trust. The substrate scales from a single team to enterprise-wide deployment.

• Faster onboarding and reduced internal support load
• Consistent, cited answers that respect access boundaries
• A foundation that compounds across future AI features

Support teams face increasing volume and complexity while being held to brand voice, accuracy, and SLA commitments. Off-the-shelf bots either miss the brand or miss the context — often both.

Copilots for agents before bots for customers. We equip your support team with AI that drafts, cites product documentation, and escalates cleanly — with explicit handover points to human judgement.

• Shorter time to first response and resolution
• Consistent tone and accuracy across a growing team
• A measured path from agent copilot to customer-facing AI

Operations and finance teams receive documents in every format, every quality. Rules and templates break constantly. Manual processing costs time and introduces errors.

We combine extraction, classification, and validation into workflows that escalate to humans on low confidence, and that learn from corrections. The output is structured, traceable, and ready for downstream systems.

• Structured data from unstructured documents at scale
• Fewer exceptions reaching human reviewers
• Audit-friendly trail from source document to booked action

Leadership and operations need fast, grounded answers about the business — not generic AI drafts. The useful substrate is their own data; the blocker is retrieval quality and access control.

We build copilots that live inside the tools your leadership already uses, grounded in your data and rules. We invest in retrieval quality, guardrails, and traceable answers — not chatbot ambition.

• Evidence at the point of decision, with citations
• Shorter paths from question to credible answer
• A consistent interface across business tools

Every growing company has a back-office tax — data entry, routing, triage, housekeeping. It is the work that nobody celebrates, but that silently constrains scale.

We identify the highest-leverage back-office workstreams, design agent and workflow solutions, and keep humans on the exceptions. We measure in recovered hours and reduced error rates.

• Capacity returned to the business, measurably
• Lower error rates on routine work
• A platform that absorbs the next process, and the next