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Embedded AI agents for Sales, Marketing and Ops, inside your tools, in 3-6 weeks

Start with a short fit check. If there is a clear path, we build a working prototype and align on outcomes before moving forward.

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Runs in your existing Outlook or Google, CRM and files. Human approval during early rollout.

Where we usually start

These are examples, not a fixed menu. We pick one high-leverage workflow together.

Sales

  • Lead Capture and Coordination — replies quickly, coordinates across email or SMS, places calendar holds, updates CRM
  • Conversation Orchestrator — keeps threads moving, asks clarifiers, tracks promised follow ups

Marketing

  • Conversational Content Producer — short interview into one longform piece plus a couple of posts, routed for approval
  • Ad Creation and Experiment Pipeline — brief to approved variants to scheduled tests with a simple weekly summary

Ops

  • Document Intake Orchestrator — IDs or invoices or contracts into structured data with human review on low confidence
  • Scheduling and Client Prep — qualify, book, reminders and checklists, collect missing information

Everything runs within your stack. No new platform to learn.

Designed for growing teams

Practical delivery inside your existing tools
Clear scope and outcomes before rollout
Simple handoff so your team can own it

How a 3-6 week embed works

Phase 1, Scope and safeguards

We define one workflow to automate, what success looks like, what the agent can send on its own, and what requires human approval.

Phase 2, Pilot in your stack

We connect to mail, calendar, CRM or files as needed, run the agent on a small slice, and refine based on real activity.

Phase 3, Harden and handoff

We add approvals, confidence thresholds, audit trails and a simple runbook. Your team can continue with or without us.

Timelines vary by stack and access. We keep the scope tight so results arrive quickly.

Safeguards that come standard

  • Human in the loop at the start
  • Confidence thresholds with clear escalation
  • Easy approvals inside your normal tools
  • Data stays in your tenant or chosen systems with least-privilege access
  • Suppression and opt out honored across channels
  • Clear logs of what was drafted and what was sent

These safeguards are designed to keep quality high and make change management straightforward.

Engagements

Agent Sprint

A focused 3-6 week build of one embedded agent inside your tools. We align on outcomes before moving ahead with full rollout.

Care and Iteration

Light ongoing support for monitoring, adjustments and adding new intents as your team uses the agent.

Outcome-Share (optional)

In some cases we structure fees to reflect measured uplift or time savings. Decided together after the initial scope.

Transparent quotes after the initial scope. No lock-in.

AI Strategy Consulting

Executive-level guidance to identify where agents make the most impact in your operations, without committing to a build immediately.

Typical outcomes

  • Prioritized opportunities and a clear starting point
  • A pragmatic roadmap that fits your stack and team
  • Decision support on vendors and data readiness

Format

Short working sessions, lightweight assessments and hands-on planning with your leads. Can be a standalone engagement or paired with an Agent Sprint.

Background

Ready to see if there is a fit

A quick conversation to understand your workflow and confirm there is a simple path forward.