Agents that handle repeatable work across sales, support, and operations.

We build AI agents that read, classify, draft, route, update records, trigger workflows, and hand off the right context to people when judgment is needed.

View Agent Workflows

Agent operating model

Listen

Monitor approved channels such as inboxes, forms, chat, CRM queues, documents, and task lists.

Decide

Classify the request, check business rules, pull context, and decide whether to act, draft, or escalate.

Act

Create records, route work, draft replies, update statuses, notify staff, validate actions, and avoid duplicates.

Improve

Review exceptions, failed actions, staff overrides, prompt changes, and workflow performance against real KPIs.

Best starting point

Start where the team repeats the same decision dozens of times a week.

AI agents work best when there is a clear queue, a known set of actions, and a human owner for exceptions.

Inbox or CRM queue

Repeatable classification

Downstream task or update

Human review for exceptions

Reduce

Manual touches

Measure how many routine classifications, drafts, routes, and record updates no longer require staff effort.

Improve

Queue speed

Track how quickly requests move from intake to owner, task, reply draft, or completed workflow.

Protect

Exception control

Show that sensitive, uncertain, and high-value work routes to people with useful context.

Where to start

Choose the first agent by where work already piles up.

The best first agent usually sits on top of a workflow your team already handles every day: repeated inputs, known decisions, clear exceptions, and a measurable outcome.

Inbox triage

Classify routine emails, draft replies, assign owners, and flag requests that need human judgment.

CRM hygiene

Update records, summarize activity, create follow-up tasks, and catch missing fields before leads go cold.

Quote support

Capture request details, check approved sources, prepare internal notes, and route the next step to sales or operations.

Support routing

Summarize issues, suggest approved responses, route escalations, and leave a clean record for the team.

Agent library

Browse agent patterns your team may recognize in your own operations.

Start with a familiar operating role, then tailor the agent around your systems, approvals, handoffs, and value target.

AI Sales Rep

Qualifies inbound leads, drafts follow-up, books meetings, and updates CRM.

Chat + CRMHubSpotCalendly

Manufacturing Response Agent

Answers parts, availability, quote, ordering, and timeline questions from approved sources.

Email + ChatERPCRM

Support Triage Agent

Classifies tickets, drafts responses, routes escalations, and summarizes customer history.

HelpdeskZendeskGorgias

Admin Intake Agent

Turns form, email, and call requests into structured tasks with owner, urgency, and next step.

WorkflowFormsSheets

Finance Inbox Agent

Extracts invoice details, prepares review notes, and flags exceptions for approval.

DocumentQuickBooksEmail

Marketing Content Agent

Drafts posts, emails, and campaign assets from approved topics and routes them for review.

ContentDriveCRM

Operating loop

Agents need a defined job, not an open-ended instruction.

The strongest agent workflows define inputs, permissions, tools, validation, retries, review rules, and evidence so the team can trust what happened.

Trigger

A lead, email, ticket, call, document, form, or CRM change starts the workflow.

Context

The agent checks approved sources, customer history, rules, and current system data.

Action

It drafts, classifies, routes, updates, schedules, extracts, validates inputs, and avoids duplicate actions.

Review

Sensitive, uncertain, high-value, or policy-bound work is escalated for approval.

Record

The system logs the action, source, owner, status, retry history, KPI, and follow-up trail.

Agents should remove manual touches, not create another place to check.

The strongest agent workflows classify, draft, route, update systems, and leave a clear trail for the person who owns the outcome.

First workflows

Email response and routing

Faster response time with humans reviewing sensitive or high-value work.

CRM and pipeline hygiene

Cleaner pipeline data and fewer missed revenue moments.

Operations task orchestration

Less admin coordination and better visibility into request volume.

Systems involved

Channels

EmailFormsChatVoiceSMS

Systems of record

HubSpotSalesforceGoogle SheetsAirtableQuickBooks

Team workflow

SlackMicrosoft TeamsClickUpAsanaNotion

Controls and cost drivers

Human approval for sensitive replies, refunds, pricing, legal, financial, or policy-sensitive decisions.

Audit logs for agent decisions, source context, workflow actions, and staff overrides.

Approved knowledge sources so agents do not invent answers outside the business rules.

Budget depends on workflow complexity, not just model usage.

The raw AI cost for written-message workflows is often modest. The real work is designing, integrating, testing, monitoring, and supporting the workflow safely.

Workflow selection

Choose one repeated workflow with clear volume, ownership, and measurable impact.

Agent design

Define inputs, knowledge sources, actions, approval rules, and integration points.

Pilot and review

Run the agent with human oversight, inspect exceptions, and tune before expansion.

Expand safely

Add more channels, decisions, or automations only after the first workflow proves useful.

Reliable agents depend on integrations, safety, measurement, and adoption.

The trust layer keeps agent work connected, reviewable, measurable, and understandable to the staff who use it.

Data & Integrations

Connect AI to the tools that run the business: CRM, calendars, email, documents, databases, helpdesks, ecommerce, ERP, and reporting systems.

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Security, Monitoring & AI Safety

Guardrails, human review, audit trails, monitoring, escalation, and sensitive-data boundaries for AI systems that touch real operations.

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Operational Intelligence & Value Realization

KPI tracking, dashboards, value reviews, and reporting that connect automation work to cycle time, response time, cost, and conversion outcomes.

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Staff Training & Adoption

Training, SOP updates, escalation practice, and role-specific adoption support so teams understand when to trust the AI and when to step in.

Learn more

Common questions before starting.

Can agents take action automatically?

Yes, for well-defined routine work. For sensitive work, we usually start with draft, route, or approve-before-send patterns.

Can this work with our current tools?

Usually. We map your systems first, then decide whether to use APIs, webhooks, automation platforms, databases, or custom connectors.

Will this replace staff?

The best first target is repetitive coordination work. Staff should stay focused on judgment, relationships, exceptions, and business decisions.

How do we know if it is working?

We track workflow volume, response time, manual touches reduced, escalations, cycle time, and outcome quality.

Find the first workflow worth automating.

Tell us where calls, emails, admin, or disconnected tools are slowing your team down. We will recommend a practical first step, not an oversized project.

What you get from the assessment

A clear first workflow to consider

Likely systems, handoffs, and guardrails

A practical next step: blueprint, pilot, or wait

This is a fit and direction conversation. A full audit, blueprint, or pilot can follow only if it makes sense.