Lead follow-up agent
Score new enquiries, identify service fit, draft the first reply, and create the follow-up record. You approve the message and the CRM update.
Nebulas builds your first AI agent around one real workflow, lead follow-up, reporting, inbox triage, or admin prep, connected to the tools you already use, with a human approval gate before anything sensitive happens.
You do not need an AI team to start. One workflow, real controls, and a measurable outcome, not a platform transformation.
Start with one workflow, not a platform transformation. We choose the smallest workflow that can prove value, then build the agent, approvals, audit trail, and operating view around it.
Score new enquiries, identify service fit, draft the first reply, and create the follow-up record. You approve the message and the CRM update.
Pull context from your CRM, project tools, Microsoft 365, and internal systems to prepare status reports, client updates, and recurring admin.
Classify incoming email, surface what needs a decision, draft replies, and prepare a daily operating briefing with clear action points.
Keep records clean across GoHighLevel, n8n, spreadsheets, and your CRM: update stages, chase missing data, and hand work to the right person.
A process specific to your business? If it is repeated, measurable, and reachable through an API, webhook, inbox, export, or database, we can build an agent for it.
Best first workflows are repeated, measurable, and annoying enough to matter. Tell us yours and we will recommend the first agent.
By the end of the first engagement you have a live agent on one real workflow, the controls around it, and a simple way to run and measure it.
A deployed agent connected to your approved tools, preparing the next action on a real, repetitive workflow.
Least-privilege access, a named identity, and approval rules on external sends, record changes, and anything touching money.
A full log of every input, draft, approval, and action, plus unclear cases surfaced as tasks instead of silent failures.
Clear operating notes and a measured outcome, so you can decide whether the next workflow is worth automating.
A useful business agent needs more than a model prompt. It needs identity, scoped access, approvals, audit, recovery, and a way for people to understand what just happened.
Read the broader setup detail →The agent gets a named identity and only the access its workflow needs.
External sends, record changes, commitments, and spend wait for review.
Unclear cases become tasks, not silent failures or weird improvisation.
Every input, draft, approval, and action leaves a trail your team can inspect.
Most first builds should be contained. That is how you get proof, avoid permission sprawl, and make the second workflow much faster.
Rank candidate workflows by time saved, customer impact, access risk, and clarity of success.
Identify the approved integration path and what the agent may read, draft, update, or never touch.
Create the prompts, connectors, approval queue, audit trail, exception handling, and handover surface.
Measure the actual outcome, tune the agent, then decide whether the next workflow deserves automation.
Every path starts small, proves value, and keeps you in control. No lock-in, no platform programme.
1–2 weeks
Not sure where to start? We rank your candidate workflows, map the tools and risks, and hand you a build-ready plan for the first agent.
Start with discovery2–4 weeks
Your first agent, live on one real workflow: connected tools, approval rules, audit trail, and a simple way to run and measure it.
Book an AI agent setup call4–8+ weeks
A deeper agent across multiple tools and handoffs, staged delivery, tighter integration work, and the same control model throughout.
Scope a professional buildBest first workflows are repeated, measurable, and annoying enough to matter. We would rather scope one contained win than sell a transformation programme.
The things owners and operators ask first, answered plainly.
The best first workflow is repeated often, has clear inputs, touches tools you can approve access to, and has a measurable outcome such as faster lead follow-up, cleaner reporting, or fewer owner-admin hours.
Yes, when the software has an API, webhook, database, export, inbox, or approved integration path. Microsoft 365, CRMs, Jira, Confluence, accounting, and internal tools are established patterns. Nebulas scopes access rather than giving an agent blanket permission.
Sensitive actions are approval-gated. The agent can draft, summarise, prepare, classify, and monitor automatically, while external sends, customer commitments, record changes, and anything touching money wait for human approval.
A contained first workflow usually goes live in 2–4 weeks once the process owner, tools, approval rules, and success measure are clear. Integration-heavy setups run as a staged path over a longer window.
Security is built into the architecture, not bolted on. Every agent has its own identity, least-privilege access scoped to its workflow, and a full audit log. Your data stays inside the tools you already approve.
You get a reply by email with a practical next step: a contained setup, a short discovery, or honest advice to wait. The form keeps your service context so the response is specific, not generic.
Give us the job, the tools, and where you want control kept. We will reply with the right first step: a contained setup, discovery, or advice to wait.