What we build

Services that help you decide, build, and adopt AI in production.

Start with the group that matches your current need. Then open the specific service if you want the full detail.

AI Support Triage Agent

For companies with high-volume support and operations queues.

Turns messy inbound queues into ranked, owner-ready work with context attached.

Reads from

Support tickets and queue metadata
Help center, SOPs, and policy docs
CRM and account context
Escalation rules and service targets

Produces

Priority and owner recommendation
Suggested reply or next action
Escalation path with supporting context

What changes

Lower triage time, faster first response, and fewer handoffs without blind automation.

Internal Knowledge Brain

For teams with scattered docs, Slack decisions, SOPs, and customer context.

Makes operating knowledge usable in the moment instead of buried across tools.

Reads from

Docs, wikis, and SOPs
Slack decisions and meeting notes
Customer-specific context
Policy and process documents

Produces

Cited answers with source links
Recommended next step or owner
A traceable record of what was used

What changes

Less time hunting for answers, more consistency in decisions, and fewer context-switches across tools.

Engineering Backlog Agent

For product and engineering teams under constant delivery pressure.

Removes engineering drag around investigation, drafting, and review preparation.

Reads from

Issue tracker and backlog context
Repository code and docs
Runbooks, incidents, and prior changes
Tests, logs, and CI output

Produces

Investigation summary and likely root cause
PR draft or code-change starting point
Review artifacts and rollout notes

What changes

Faster bug investigation, cleaner handoffs, and more engineering time spent on the work that actually needs judgment.

Common starting points

The agents most teams reach for first.

These show up in some form in almost every engagement — not as off-the-shelf tools, but built around your inbox, calendar, spreadsheets, and documents, with the same context, permissions, and review steps as everything else we build.

Inbox & calendar agent

Triages incoming email, drafts replies in your voice, and finds time on your calendar — so the inbox stops being the thing you're permanently behind on.

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Meeting notes agent

Sits in on calls, writes up notes and action items, and follows up on what didn't get done — so decisions don't disappear the moment the call ends.

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Spreadsheet & reporting agent

Pulls numbers from the systems you already use, builds the recurring report, and flags what changed since last time — the report still gets written, just not by a person every week.

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Research agent

Pulls together background on a company, market, or topic from public sources and your own notes — a usable first draft, with sources, not a final answer.

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Document & contract intake agent

Reads incoming documents against your rules, clears what matches, and routes what doesn't to the right person with the specific issue flagged.

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Knowledge and decision workflows

For companies where critical work depends on finding the right policy, precedent, customer detail, or operating rule.

Internal wiki and SOP assistant

Sales and support enablement brain

Policy-aware Q&A with source provenance

Decision memo drafting from company context

Operations and process agents

For high-volume work that crosses queues, tools, teams, and approvals.

Ticket triage and routing

Document intake and reconciliation

Approval workflow copilots

Customer operations automation

Engineering and product agents

For teams that want AI to remove engineering drag without giving up control of production.

Background PR agents

Bug and incident investigation

Release note and migration drafting

Product analytics investigation

Analytics and reporting agents

For leaders who need answers, tables, charts, and narratives without waiting on one overloaded analyst.

Metric explanation agents

Dashboard generation

Weekly business review drafts

Anomaly investigation and commentary

AI infrastructure and governance

For teams that need the architecture beneath AI workflows to be secure, measurable, and operable.

Sandboxed execution environments

Model routing by task and risk

Evaluation harnesses

Audit trails and approval gates

Operating layer

What we put around the workflow so it can survive production.

The workflow is the entry point. The operating layer is what keeps it useful, measurable, and safe once teams rely on it.

Workflow discovery

Map where teams lose time, money, and judgment across docs, tickets, approvals, code, support queues, and operational handoffs.

Agent systems

Design agents that can investigate, draft, route, reconcile, build, and ask for human input when the decision carries risk.

Company brain

Turn scattered knowledge into permission-aware context: policies, SOPs, customer facts, runbooks, product decisions, and institutional memory.

Governance layer

Add the controls that make production AI survivable: sandboxes, model routing, evals, audit trails, approval gates, and observability.

Start small, build seriously

Bring your most expensive workflow. Leave the call with a ranked plan for where AI pays off first.

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