Solution · 02 · AGT · MANAGED / MRR

Agents as a Service.

Autonomous digital employees for the work that isn't linear — qualifying leads, drafting RFIs, synthesising research, watching markets. We build them, we monitor them, and we keep them honest. You get the output.

The roster — 01

Four agents, on the job.

Every agent has a clearly scoped role, its own observability, and an escalation path to a human. Not "AI in a box" — actual digital teammates.

Agent · 01
Lead qualifier
Reads inbound form submissions, enriches against your CRM and public sources, scores ICP fit, drafts a first-touch reply, and routes to the right rep. Runs 24/7.
SalesforceApolloGmailSlack
Agent · 02
RFI / RFP drafter
Ingests the RFP, pulls matching answers from your knowledge base, flags gaps for SMEs, and returns a first draft that's 80% there. Three-day turnarounds become six hours.
SharePointNotionDocsVector DB
Agent · 03
Research synthesiser
Takes an ambiguous question ("what are the pricing trends in APAC logistics this quarter?"), runs structured research, and returns a cited 1-pager with sources. Every Monday, automatically.
ExaPerplexityCrunchbaseNews APIs
Agent · 04
Competitor watcher
Monitors product pages, pricing, jobs boards, and press. Emails a weekly diff with context — and pages you in Slack the moment anything material changes.
PlaywrightRSSLinkedInSlack
What's included — 02

Managed end-to-end, not just handed over.

Agents aren't "ship and forget." Every MRR engagement includes the monitoring, knowledge refresh, and incident response that keeps them useful past month one.

Hallucination monitoring
Every output is scored against ground-truth sources. Low-confidence responses escalate to human review automatically.
Knowledge base updates
Weekly re-indexing of your docs, CRM records, and reference material. The agent never answers from stale context.
Hosting & uptime
Runs on dedicated infrastructure in AU-East or US-East. Uptime SLA, regional failover, full audit logs.
Cost ceilings
Hard monthly token budgets with alerting at 80%. No surprise bills from a runaway prompt.
Versioned prompts
Every prompt and tool is git-tracked. Rollback to a known-good version takes one click.
On-call support
24-hour response on business tickets, 2-hour response on incidents. Real humans, not a ticket queue.
Results — 03

Numbers from real deployments.

4.2h
Avg. time saved / agent / day
99.9%
Uptime across fleet
0
Production hallucinations escalated to prod
6wk
Avg. time from scope to live
Questions — 04

What teams ask before onboarding.

These come up on nearly every discovery call. If yours isn't here, drop us a line.

How is this different from an automation?
Automations follow a fixed path. Agents reason about what to do next. If your workflow has branches, judgement calls, or "depends on the context" — that's an agent.
Q·01
What stops it hallucinating?
Grounding against your data, confidence scoring, human review for low-confidence outputs, and red-team drills every quarter. We publish the error rate to you monthly.
Q·02
Where does my data live?
In your region by default (AU-East for AU clients). Customer data never trains a third-party model. Full data processing agreement on request.
Q·03
What if we want to take it in-house later?
You can. We hand over the prompts, tools, logs, and a runbook. No lock-in — we'd rather you stay because it's useful, not because leaving is painful.
Q·04
More solutions — keep exploring

Other ways we ship AI.

Hire your first digital teammate.

30-minute scoping call. Bring a job description for the work you wish you could outsource — we'll tell you if an agent fits, how long the build takes, and what the monthly run looks like.

Office
Melbourne, VIC · Remote available
Response
< 24 hours · always
Scope an agent
Tell us about the role. We'll come back within 24 hours.
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