Engineering service
Production-grade autonomous agents with schema validation, permission boundaries, deterministic routing and human oversight.
The engagement, plainly
Use an agent when a workflow genuinely needs contextual decisions or tool selection. Keep fixed rules in ordinary software. An engagement defines what the agent may read, propose and execute, together with how a person reviews uncertain or consequential actions.
A service-intake assistant could classify a request, retrieve the customer record and propose a dispatch task. A coordinator approves the booking before a write occurs. Missing customer matches, stale availability and tool failures go to a review queue rather than becoming invented confirmations.
AI agents / Local & cloud
Explore six configurable builds for knowledge, documents, proposals, support, reporting, and meetings. Choose fully local or cloud deployment, with a quote for your workflow and integrations.
Illustrative input: An employee asks: Which travel expenses need approval? The approved policy folder is supplied.
Prepared output: A draft answer cites the relevant policy sections, flags an outdated appendix, and asks the employee to confirm their travel category.
Review: A knowledge owner approves sources. Unsupported or conflicting answers return to the team for review.
Illustrative input: A batch contains an invoice, a purchase order, and an unreadable delivery note.
Prepared output: A draft record links extracted fields to their sources, flags a quantity mismatch, and holds the unreadable document for review.
Review: A reviewer checks missing fields and mismatches before export. Payment or booking authority is separately scoped.
Illustrative input: A discovery brief, approved service descriptions, and a proposal template are supplied.
Prepared output: A draft proposal maps the brief to deliverables, lists unanswered questions, and leaves unapproved prices and dates for the owner.
Review: Your commercial owner approves pricing, exclusions, delivery dates, and every proposal before it is sent.
The request matches your company rules and budget limits, so the AI completes the update automatically.
Built-In Company Rule Checker
Status: Approved Automatically Check 1: Matches required spreadsheet format Check 2: Within approved budget limit Result: Saved to system & logged
Agent application and execution graph
Typed tool contracts and agreed integrations
Human-review queues with illustrative workflow examples
Fully local or cloud deployment package
Evaluation, traces, audit logs and operating handover
Evaluate successful task completion alongside unauthorized-action attempts, duplicate actions and escalation quality. Deliverables include tool contracts and retry behavior. Access to source systems is scoped to the minimum necessary permissions; autonomous authority is never implied by an agent demo.
Start with approved files and local exports for offline builds, or scope permitted CRM, knowledge, ticketing and operational connectors for cloud builds. Separate read tools from writes; agree provider-enforced idempotency and timeout reconciliation. Specific connectors are agreed during scoping.
Choose fully local inference, parsing, retrieval, storage and tools with no required cloud calls after setup, or an agreed cloud environment with approved providers and data-handling terms. Size local hardware against representative workloads and include maintenance, backups and updates. Quote cloud hosting, inference, monitoring and support separately. Start in suggestion mode; network access, credentials and tenant isolation belong to the application boundary, not the prompt.
A named operator authorizes consequential actions and resolves uncertain matches. Define a stop control and compensating actions for effects that cannot be rolled back.
Agents should not replace deterministic rules unnecessarily
External actions require idempotency and approval design
Quality depends on source systems and evaluation coverage
Everything we build is 100% yours — delivered in clear, fixed-timeline milestones with zero recurring software license fees.
What you get in 2 Weeks: A working proof-of-concept tested on your sample data, plus a clear cost-savings and ROI forecast.
Start With 2-Week PrototypeCommon questions
Not initially. A read-only or suggestion-only pilot can establish usefulness. Write access is a separate rollout decision with explicit approval rules, rollback or compensation behavior and monitoring.
A defined workflow, representative examples, and the relevant integration, deployment, and governance constraints. Typical inputs include workflow states and policies, api and system access, examples of normal and failure cases, escalation and approval rules.
We agree acceptance criteria, test against representative data, document failure modes, and add regression checks before staged production use.
Agents should not replace deterministic rules unnecessarily External actions require idempotency and approval design Quality depends on source systems and evaluation coverage