We build agentic workflows for SMBs. AI agents wired into the tools your business already uses, doing the work that eats hours but doesn't need a human to decide: invoicing chases, CRM updates, ticket triage, lead qualification. Your team keeps the thinking. The workflow keeps the admin moving.
Every agent does the job of a named role. You describe the work, we wire the agent to your stack, your team reviews and approves what matters. Not a chatbot. Not a macro. A teammate that gets things done.
Xero, HubSpot, Gmail, Slack, Google Drive, your CRM, your database. Not a generic chatbot sitting in a browser tab. An agent that logs in, does the work, and hands back.
Audit logs on every action. Confidence thresholds for auto-action. Approval gates on anything consequential. You decide where autonomy ends. Trust grows as you watch the agent work.
Azure OpenAI in your subscription, or local models for the most sensitive layers. Nothing leaves your boundary. Compliance teams get the audit trail they want before the agent goes live.
The agent is yours. The code is yours. The configs are yours. If we part ways next year, the agent keeps running. No lock-in, no per-seat trap.
Last week an AI agent did this, start to finish:
A human client paid it. Three tasks that used to cost an employee a week, done in a single session, with a human at the approval gates. That is not a demo. That is what this looks like in practice.
You're about to hire a second bookkeeper, SDR, or admin, and quietly wondering whether you need to.
Your team burns hours on admin that nobody actually wants to do.
You've tried Zapier, Copilot, or off-the-shelf AI tools and they weren't smart enough for your real workflows.
You want to grow capacity without growing payroll, benefits, and recruitment cycles.
You've seen the AI demos, loved them, but can't get from demo to production on your actual data.
Your data is sensitive and you can't send it to a vendor's cloud. You need agents that run inside your boundary.
Every workflow takes on a slice of a named role. Start with one, grow the collection as trust builds. These are the shapes we've seen land repeatedly.
Chase overdue invoices, reconcile transactions, generate and send invoices, categorise expenses, flag anomalies. Works directly in Xero, QuickBooks, or Sage.
Prospect list building, personalised outreach drafts, CRM hygiene, meeting prep notes, follow-up sequences. Lives in HubSpot, Salesforce, or Pipedrive.
Ticket triage, canned responses, escalation rules, knowledge base drafting. Zendesk, Intercom, or your helpdesk of choice.
CV screening, outreach, interview scheduling, candidate follow-up. Integrated with your ATS and calendar.
Reporting, data movement between systems, dashboard updates, meeting notes distribution. The glue work no one wants to do.
Content drafts, social scheduling, competitor monitoring, analytics summaries. Consistent output at a fraction of agency rates.
One day together. We map your workflows, pick the first agent, agree the guardrails. You see exactly what it will do and what it won't.
Two to four weeks. We build and wire the agent into your real tools. It runs alongside your team with human approval on every action, earning trust.
Agent goes live with the guardrails you approved. You get dashboards, audit trails, and a kill switch. The boring work becomes someone else's job.
We build the next agent. Then the next. Your agent workforce grows as trust does. Month six looks nothing like month one.
Pick the shape that fits your business today. Most clients start with an Agent Build and upgrade as results come in.
Fixed scope. One agent, one workflow, two to four weeks. We deliver, you own it. Ideal for your first engagement, a proof point your team can rally behind.
We maintain, monitor, and improve your live agents. Model costs passed through at cost. Monthly tweak session to tune behaviour as your business changes.
We embed. Across three to six months we build a portfolio of agents spanning finance, sales, ops, and support. The highest-leverage option for SMBs that want serious capacity growth without hiring.
Everything consequential goes through a human approval gate until the agent earns autonomy. Audit logs on every action. A kill switch you control. We start low-autonomy and expand only when results justify it.
Different category. These agents do real work in real tools, not answer FAQs. The proof is above: an agent built a product, priced it, and invoiced for it. Run a pilot on your actual data and you'll see.
Agents run in your Azure tenant or on-prem. Models can be local for the most sensitive layers. Nothing leaves your boundary. We've done this in regulated environments before.
They will, if you do this wrong. The best outcomes come from involving your team in designing their own agent. The agent becomes their tool, not their threat, and they stop doing the bits of their job they always hated.
Book a discovery call. We'll look at your workflows, pick the best candidate for automation, and tell you honestly whether agents are the right move. No pitch decks.
