AI agents that work inside
your real business workflows.
Not chat. Not autonomy theater. We build production agents that read, reason, retrieve, and execute under human review, role-aware permissions, and continuous evaluation, wired into the systems your team already uses.
Eight agent types we build,
deployed inside real operations.
Every agent we ship is a graph, orchestrated steps, typed tools, hybrid retrieval, and human approval gates. We don't ship auto-agents that pretend to be autonomous.
Research
Reads, synthesizes, cites. Pulls from documents, web, internal data, then drafts briefings with grounded references.
Compliance
Extracts obligations from policy and regulation, maps them to controls, flags drift, and routes to owners.
Operations
Sits inside the operating room. Monitors queues, summarizes incidents, triggers playbooks, escalates with context.
Document
Reviews contracts, tenders, invoices, policies. Extracts entities, compares versions, flags risk clauses for human review.
Support
Customer- or employee-facing assistant grounded in your knowledge base. Routes complex cases to humans with full context.
Analyst
Connects to warehouses, runs SQL, validates queries, narrates findings. Answers business questions with reproducible evidence.
Executive
Reads across systems and compiles weekly intelligence briefings for leadership. Configurable focus, evidence-linked.
Field Ops
Voice + mobile copilot for field engineers and inspectors. Logs reports, retrieves SOPs, escalates with media evidence.
Production agents are systems,
not prompts.
Hover or click any layer to see what we build there. This is the architecture under every Verne agent, composed, observable, and audit-ready.
Orchestration
The control plane: planning, tool selection, state, retries, human handoff. We use deterministic graphs with controlled LLM nodes, not free-form auto-agents.
Engineered for regulated workflows.
Agents fail. Production-grade systems make those failures observable, reversible, and recoverable. These are the controls we ship by default.
Grounding
Agents only assert what retrieval supports. Every claim is link-able to a source document and citation.
Guardrails
Input + output guardrails: PII detection, prompt injection defense, output structure validation, refusal patterns.
Audit Trails
Full prompt, tool, and decision logging with append-only storage. Regulators get reproducible execution traces.
Role-Based Access
Agent inherits the requesting user's permissions. Data and actions filter at the boundary, not in the prompt.
Evaluation Sets
Curated golden datasets per use case. Every model or prompt change runs against them before promotion.
Human-in-the-Loop
High-stakes actions require human approval. Approvers see the reasoning, evidence, and counterfactuals.
Try the compliance agent demo.
Upload a regulatory document. Watch the agent extract obligations, map them to responsible units, propose action items, and produce an evidence-linked review, all observable, all reproducible.
Bring us your
most complex workflow.
In 7–10 working days, Verne maps your workflows, data sources, repetitive decisions, automation opportunities, and AI risk areas. You receive a prioritized roadmap showing what to automate, integrate, avoid, and build first.