Quick answers

AIGrow provides AI visibility monitoring, a business assistant, blog publishing and scoped automation services. Start with the free scan to inspect the output before paying.

Run the free scan

The scan is free and monitoring plans start at $29 a month. The operations audit is $290, the visibility audit is $490, and custom builds receive a written price before work starts.

See the plans

Run the free scan. It reads your site, asks several AI assistants what your customers ask, and points you at one thing. No signup required, and it will tell you if you do not need us.

Start now

Yes. Use the contact form for product, billing, support or project questions. Describe the goal and the system involved so the first reply can be specific.

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AI agents

Software that acts, not software that answers

An assistant waits to be asked. An agent watches a trigger, decides against your rules and performs the work in your own tools, then writes down everything it did. When it meets something your rules do not cover, it escalates instead of guessing.

Deploy an agentSee how one works

Managed runtime starts at $49 a month after the workflow, usage and operating responsibilities are approved in writing.

Illustrative agent log
4example events in a support triage flow
09:14:02 email in, classified
billing
09:14:03 reply drafted and sent
in 1s
09:14:31 email in, classified
refund
09:14:31 no rule matched
to a person
Sensitive request
kept with a person

Example only, not production activity. A deployed agent logs its actions and escalates requests outside the approved rules.

Three steps

What an agent actually does

The same three steps every time, running continuously. The interesting part is the third one: acting inside your tools is what separates this from a summary in a chat window.

ObserveThe agent watches a trigger rather than a schedule: an inbound email, a Slack message, a webhook, a row changing in a database. Nothing is polled, so nothing waits for the next interval.Real-timewebhooks · email · slack · db
DecideContext is evaluated against your rules. Intent classified, priority scored, route selected, and the cases your rules do not cover are escalated rather than guessed at.Your rulesclassify · route · score
ExecuteIt performs the action across your stack: updates the CRM, sends the reply, generates the report, flags the exception. Every step it takes is written to an audit log you can read.Loggedactions · reports · audit trail
The gap

What changes when the rules are automated

The agent handles repeatable assembly and routing. A person keeps judgement, approval and every exception outside the agreed rules.

The jobManual workflowAgent workflow
Data entry between two toolsCopied and checked by handTransferred by rule, then checked
Weekly reporting packRebuilt from each sourceAssembled on a schedule
Routing an inbound requestRead before it can be assignedClassified on arrival
Compliance checkEvidence gathered by handEvidence assembled for review
Three places

Examples of agent workflows

These scopes illustrate tasks an agent can support. Integrations, access and acceptance checks must be confirmed for your process before deployment.

See the ready solutions

Operations

Invoices processed from the inbox, restock alerts triggered from stock levels, vendor follow-ups chased without anyone remembering to chase them.

Invoice intakeRestock alertsVendor follow-up

Customer success

Tickets classified and routed on arrival, replies drafted with the account context attached, and anything the rules do not cover handed to a person with the history already assembled.

TriageDrafted repliesEscalation with context

Growth

Content published on cadence, leads scored against behaviour and firmographics, performance reports assembled and delivered before the meeting rather than during it.

PublishingLead scoringReporting
Your numbers

What one task is costing you

Two inputs, both yours. Nothing is sent anywhere and no email is asked for: the arithmetic runs in your browser and the coefficient it uses is printed under the result.

20 h
$50 / h
Modeled per month$3,681
Modeled per year$44,200

Illustrative model only. It assumes an agent removes 85% of the entered hours while a person keeps the remainder. This is not a savings estimate or ROI forecast. An audit measures the real workflow before a build is recommended.

Pricing

Pre-built, or your own, on the same runtime

Scope an agent for your process or commission one around it. Managed runtime starts at $49 a month, with model usage, integrations, monitoring and support confirmed in the written offer.

AI Support Agentfrom $1,490Live in 7 to 10 days

Triage, draft and escalate from your approved support rules.

  • AI triage & classification
  • Approved auto-responses
  • Knowledge-base training
  • Helpdesk integration
  • 30-day production support
Deploy support agent AI Support Agent
Lead Scoring SystemNewfrom $1,490Live in 7 to 10 days

Documented lead scoring rules, connected to your CRM.

  • Behavioral + firmographic scoring
  • Triggered CRM sync
  • Prioritization dashboard
  • Nurture triggers
  • 30-day support
Deploy lead scoring Lead Scoring System
AI Agent Runtimefrom $49/mo

Managed hosting, health checks and action logs for your agents.

  • Managed agent hosting
  • Health checks defined in scope
  • Action logs
  • Capacity priced for approved usage
Run your agent AI Agent Runtime
The line

What runs without you, and what does not

An agent that claims to need no supervision is describing a system nobody has audited.

It handles
  • Anything triggered by an event and resolvable by a rule you wrote
  • Reading, classifying, routing and drafting at any volume
  • Acting inside Slack, HubSpot, Notion, Salesforce, Stripe and any REST API
  • Writing every action it takes to an auditable log
  • Running continuously, including while nobody is watching
A person still holds
  • Any case the rules do not cover: it escalates with the context assembled
  • Approval on whichever action classes you choose to gate
  • Judgement calls, exceptions and anything with a relationship attached
  • The decision to change the rules when the process changes
  • Credentials: the agent gets least-privilege access to exactly what it acts on

Before you deploy

What an agent is, what it costs to run, what happens when it is wrong, and where your data goes.

Commission a custom agent

A chatbot answers when it is spoken to. An agent watches a trigger and acts without being asked: it reads the inbound event, decides against your rules, performs the action in your tools and logs what it did. Nobody has to open a window for it to work.

It escalates rather than improvises. Any case your rules do not cover goes to a person with the full context attached, and every action it does take is written to an audit log you can read and reverse. Human approval can be required on any action class you choose, including all of them.

A managed runtime at $49 a month per agent, which covers hosting, monitoring, model access and updates. The agent itself is either one of the pre-built ones, priced on this page, or a custom one scoped like any other build.

Slack, HubSpot, Notion, Google Workspace, Salesforce, Stripe, PostgreSQL, Zapier and anything with a REST or GraphQL API. Where no API exists, the connector is built as part of deployment.

On the managed runtime by default, or on your own infrastructure if you would rather. Encryption in transit and at rest, least-privilege credentials scoped to exactly the actions the agent performs, and a full audit trail. Nothing is used to train a model.

Start with one rule-driven job.

Bring the trigger, approved actions, exception path and systems involved. The first scope decides whether a listed agent fits or the workflow needs a custom blueprint.

Deploy an agentFind the right task first

Runtime from $49/mo · final scope approved first