Managed AI workers that prepare work, then ask for review.
We design AI-assisted workflows around real business jobs: qualifying leads, preparing follow-up, organizing records, and stopping for a human when judgment matters.
Works with Gmail, Google Calendar, Slack, Zapier, HubSpot.
An agent can collect context, score urgency, and draft the next reply while your team is busy. An agent can prepare updates, notes, and tasks so records stay useful.
Today
- Inquiry arrives after hours
- It waits in a shared inbox
- Someone retypes it into the CRM
- The reply goes out the next day
After
- Inquiry arrives after hours
- Details checked and scored
- Reply drafted, CRM updated
- A person approves, and it sends
A managed AI worker earns its place when it has a clear job, trusted sources, safe permissions, and a human handoff.
Lead qualification agent
Turns website and form inquiries into scored, routed, ready-to-call leads. Includes website chat, form enrichment, lead scoring and sales handoff.
Support answer agent
Answers common questions and hands off anything sensitive or unusual. Includes knowledge base, handoff rules, conversation logs and answer review.
Operations agent
Moves data across tools, prepares reports, and keeps humans in control. Includes CRM sync, task creation, report drafts and approval gates.
Run and kept running by us
We build the workers, run them, and keep a human in the loop. Someone stays accountable for keeping them useful.
The worker checks the details, drafts the reply and stops. Nothing goes out until a person approves it.
A website inquiry is checked against the service area, a reply is drafted, and it waits for a person to approve it before it is sent.
Audit the current flow
We trace the work from first contact to completed task so the real bottleneck is visible.
You see the problem map first.
Scope the first useful release
We define the workflow, owner, data source, review rule, and release criteria before implementation starts.
Written scope and estimate.
Review the build
You review working versions at the cadence defined in the engagement, not as a surprise at the end.
Visible review path.
Plan the handoff
We document the release, operating notes, and support path appropriate to the engagement.
Defined handoff.
- Timeline
- Set in the written scope, based on access and review cadence.
- Price
- A written estimate before any build starts.
- Ownership
- Code, hosting, credentials and handoff named in the scope.
Related services
Custom software
Internal tools, portals and integrations built around one workflow.
See custom software
Will an AI agent replace my team?
No. The goal is to remove repeat work and speed up follow-up. Humans stay in charge of judgment, sensitive decisions, and final approvals.
Can the agent connect to our tools?
Usually yes. We scope integrations around the systems you already use, such as a CRM, calendar, forms, email, documents, and reporting tools.
What happens when the agent is unsure?
The agent should stop, explain why it is unsure, and route the item to a human with the context already collected.
That is how AI automation becomes useful in a real business instead of becoming another tool nobody trusts.