Implementation
Workflow Sprint
Improve one recurring task, such as intake, document follow-up, or an internal handoff.
- Defined scope
- Tested workflow
- Team handover
Practical AI. Accountable work.
We build AI assistants that find answers in approved documents and collect information consistently. We also prepare the data behind your workflows and provide ongoing care.
For professional firms and enterprise teams.
Our services
A focused engagement to improve the work in front of you, with a clear path from assessment to implementation and care.
Implementation
Improve one recurring task, such as intake, document follow-up, or an internal handoff.
Data foundation
Prepare scattered documents and system exports for one useful AI workflow, with their context and permissions intact.
Operation
Keep the agreed sources and workflow useful as information, people, and processes change.
Specialized AI assistants
Find answers in approved documents, with a source to check. Collect required information into a draft record for review. Start with one workflow and an agreed set of tests.
Help staff understand policies, procedures, and handbooks. Test how the assistant answers, cites its source, and handles missing information.
Ask for the information a request needs, check required fields, and prepare a consistent local record for your team to review.
Demonstrated internally using synthetic data. Local AI execution is available for suitable workflows; data handling and deployment requirements are agreed separately.
Explore capabilities and technical detailsThe foundation for agentic work
Policies in shared drives. Records in spreadsheets. Procedures in different formats. We prepare approved sources for a workflow that retains their context and access boundaries.
Explore data readinessInformation. Context. Control.
A defined path from approved information to a decision your team can review.
Identify the documents and records needed for a policy lookup workflow.
Sample content for explanation. Sources and acceptance criteria are agreed with each team.
A tangible handover
The engagement includes the operating detail behind the workflow. Deliverables and acceptance criteria are agreed before implementation.
Define
A workflow map, approved sources, a named owner, and explicit decision boundaries.
Validate
Representative tasks, exception cases, and evidence for your team to review before go-live.
Operate
Handover instructions, escalation paths, and an optional plan for ongoing support.
Governed by design
Our Governed Workflow Engagement starts with your AI Use Charter: who owns the workflow, what the system may do, and when a person must decide.
We run what we recommend
Vectis has run its own agents in production since April 2026 on Hermes Agent, the open-source harness from Nous Research: three agents, one of which routes work through our automated build pipeline. They operate under the same program we bring to clients — an AI Use Charter, a provider allowlist, approval gates, an audit trail, and a supervision program built from our own incident log. One agent runs entirely on local hardware with an open-weight model; the others have changed models without a rebuild.
Our own operations, not client data.
Industry context
Our work supports legal practices, insurance agencies, government, and operational teams, where responsibility stays with people.
Vectis Front Desk
An AI phone front desk built around your approved answers and handoff rules.
Founded by Sorin Decu in Atlanta after thirteen years in banking and finance. Practical AI systems, defined responsibilities, and work your team can review.
About VectiseFile & integrationsStart with a conversation
Bring one workflow or information challenge. We will help define the next step.