Lead intake & follow-up
Capture form details, summarize the request, prepare a reply draft, and create a follow-up task in your CRM. Let a person approve sensitive or high-value communications.
Automate the repetitive parts of running a business—from incoming inquiries to everyday admin—with workflows designed around your tools and your team.

Choose a useful starting point. We assess the fit against your current process, permissions, and available integrations.
Capture form details, summarize the request, prepare a reply draft, and create a follow-up task in your CRM. Let a person approve sensitive or high-value communications.
Build an assistant around approved business information to help answer routine questions. Route uncertain answers and account-specific issues to your team.
Extract useful details from approved documents, draft routine messages, and turn meeting notes into action lists. Verify important fields before updating records.
Bring agreed data sources into a recurring report, highlight changes, and prepare a plain-language summary for review.
Turn your own expertise into draft posts, emails, and outlines. Keep brand review, factual checks, and publication approval with a person.
Link forms, inboxes, calendars, spreadsheets, and CRM tasks where their APIs and permissions allow. Use simple rules where AI is unnecessary.
A possible lead-intake flow. Your tools, data rules, and approval steps determine the final design.
Your form collects the information needed to respond.
A summary and suggested response are prepared from approved context.
A person checks the details, edits the draft, and approves the reply.
A CRM task and reminder keep the inquiry visible.
A focused first build is easier to test, understand, and maintain than an attempt to automate everything at once.
Document the trigger, people, tools, data, exceptions, and manual effort.
Agree on inputs, outputs, integrations, acceptance checks, and what should stay manual.
Check normal and failure scenarios. Define the owner, fallback process, and ongoing support before handoff.
Automation should make a process easier to run, not harder to understand.
Keep approvals for payments, consequential decisions, sensitive communications, and actions that are difficult to undo.
Decide which information may be processed, which vendors receive it, and who can access the workflow. Do not send passwords or sensitive records through the inquiry form.
Define what happens when a tool is unavailable or an answer is uncertain. Include a manual fallback, documentation, and a clear maintenance owner.
The workflow map, selected tools, implementation scope, test criteria, handoff, and support options. Third-party subscriptions, usage charges, and access requirements are identified separately. Exact costs and delivery dates are confirmed after scoping.
Not necessarily. We first look at what your current tools support. Some integrations may need paid plans, API access, or a simpler alternative.
We can scope an assistant around a defined task and approved source material. Knowledge boundaries, escalation to a person, and data access are part of the design—not an afterthought.
That is not the goal. AI can make mistakes. Start with bounded tasks, test against real examples, and keep human review where the consequences warrant it.
It depends on the number of workflows, integrations, data preparation, and approval steps. We confirm the project fee and any ongoing tool costs before work begins.
Describe one repetitive task, the tools involved, how often it happens, and what currently goes wrong. Use a sanitized example rather than sending confidential customer information.