AI that optimizes how the business decides and operates.

Decision copilots

Recommend next-best actions inside the tools your teams already use — grounded in your data, your metrics, and your business rules.

Next-best-action

Pricing, promo, account, and channel recommendations surfaced where decisions happen.

Grounded answers

Retrieval over governed data so responses cite the same numbers your dashboards show.

Human-in-the-loop

Reviewable, overridable suggestions — never opaque autopilot.

Embedded UX

Copilots inside CRM, planning tools, and reporting portals, not yet another app to open.

Workflow automation

LLM-powered automations that remove manual steps from commercial, operational, and analytics workflows.

Document & email triage

Parse, classify, and route unstructured inputs into structured downstream actions.

Reporting narratives

Auto-generated commentary on KPI movements with links back to source data.

Data prep & enrichment

Standardize taxonomies, dedupe entities, and enrich records at pipeline speed.

Process orchestration

Multi-step flows that combine LLMs, APIs, and your existing systems of record.

Agentic systems

Multi-step agents that plan, call tools, and complete work end-to-end — scoped, observable, and safe to run.

Tool-using agents

Bounded tool catalogs with typed inputs and explicit approvals on sensitive actions.

Planning & memory

Task decomposition with durable state, so long-running work survives restarts.

Evaluation harness

Offline and online evals so behavior is measured, not assumed.

Cost & latency budgets

Model routing and caching tuned to the economics of each workflow.

Evaluation & guardrails

The unglamorous work that determines whether an AI system can actually be trusted in production.

Quality evals

Golden sets, regression suites, and rubric-based scoring tied to business outcomes.

Safety & policy

PII handling, content policies, prompt-injection defenses, and audit trails.

Observability

Tracing, feedback capture, and dashboards for every prompt, tool call, and outcome.

Governance

Model, prompt, and dataset versioning aligned to the same change control as your data.