AI automation for operations teams.

Where AI pays off in operations.

Every operations team has the same shape of work: signals come in, decisions get made, and downstream systems get updated. We automate the signals → decisions → updates loop with AI agents that run 24/7, log every action, and integrate with the tools you already use.

• Shared inbox triage — read incoming email, classify by intent, draft responses, escalate edge cases to humans.
• Ticket classification and routing — tag, prioritize, and assign support and ops tickets based on content and context.
• CRM updates from email, calls, or forms — keep Salesforce, HubSpot, Pipedrive, or Attio in sync without manual data entry.
• Approval workflows and internal handoffs — read requests, check policy, route to the right approver, log the decision.
• Recurring operational reports — daily/weekly summaries of ops metrics, anomalies, and queues that need attention.
• Vendor and contract intake — extract terms, flag missing fields, push structured data into procurement systems.
• Knowledge base answering — answer internal questions from your docs, Slack, Notion, and Confluence with citations.

Built for teams losing hours every week to admin.

Operations leaders, support managers, service business owners, and startup founders who are losing 20+ hours a week to repetitive workflow admin. Typical clients are 10–500 person companies where the bottleneck is not strategy but throughput — the team is good, but they are buried in low-judgment work that AI can absorb.

We work with teams in the US, EU, and MENA, remote-first, on a fixed-scope basis.

From audit to live agent in 2–6 weeks.

1. Audit — 30-minute call. We map the highest-ROI workflow, identify the tools in play, and confirm AI is the right tool (we will say no when it isn't).
2. Design — Fixed-price quote in 48 hours. Plain-English scope: which workflow, which tools, what success looks like, what it costs.
3. Ship — Working agent in week one against your real data, in a staging environment. We iterate against real examples, not synthetic test data.
4. Operate — Optional month-to-month care: we monitor, tune, and improve. Cancel any time.

Works with the stack you already have.

We design around your existing tools rather than asking you to migrate. Common integrations include:

• Email & calendars: Gmail, Outlook, Google Workspace, Microsoft 365
• Messaging: Slack, Microsoft Teams, Discord
• CRM & sales: Salesforce, HubSpot, Pipedrive, Attio, Close
• Support: Zendesk, Intercom, Front, Help Scout, Freshdesk
• Docs & data: Notion, Confluence, Google Drive, SharePoint, Airtable, Sheets
• Project & ops: Linear, Jira, Asana, ClickUp, Monday, Trello
• Custom internal APIs, webhooks, and databases (Postgres, MongoDB, BigQuery)

Senior-only. Auditable. Fixed scope.

• Senior-only delivery. Every brief is read by the founder; every line of code is written by the founder. No account managers, no offshore handoffs, no second-rate juniors.
• Auditable end-to-end. Every model call, retrieval, and tool invocation is logged. You can explain every decision your AI makes — to your team, your users, or your auditor.
• Fixed scope, not retainers. You know exactly what you're paying for and what you'll get. Monthly care is optional and cancel-anytime.
• Shipped, not pitched. We measure success on systems running in production on your real data — not on slides or pilots that never end.

Frequently asked questions.

Do you work with the tools we already use?

Yes. We design automations around your current stack wherever possible. If you use something niche, we can usually build a small integration.

How long does a project take?

Most operations automations ship in 2–6 weeks. Single-workflow automations typically take 2–3 weeks; multi-workflow engagements run 4–6 weeks.

How is pricing structured?

Fixed-scope, fixed-price quoting. You get a quote within 48 hours of a 30-minute audit call. Optional month-to-month support is available after delivery.

Is the AI auditable? Can we see why it made a decision?

Yes. Every model call, retrieval, and tool invocation is logged. You can inspect, replay, and explain every action the agent takes. We design for review, not magic.

What happens if the AI is wrong?

Edge cases route to a human. We build the automation so that low-confidence decisions escalate to a person rather than going out the door silently. You stay in control.

More ways we put AI to work.

• AI product development for startups — AI-native SaaS, internal tools, and prototypes, shipped end-to-end.
• Custom AI systems — RAG, fine-tuning, multi-agent orchestration, and private deployment.