Outreach AI agent deployment
We scope, prompt, test and roll out Outreach's AI agents across prospecting, research, personalization and deal work, starting in copilot mode and moving workflows to autopilot only when the results earn it.
Put Outreach AI to work across your revenue team. Lyte Sales deploys, governs and drives adoption of the AI in your Outreach platform: AI agents, Kaia conversation intelligence, deal and forecast insights, and MCP connections to the rest of your stack. Configured for your ICP, your methodology and your rules.
Not ready for AI? We still do all things Outreach here.
Your Outreach AIOutreach agents can run as a copilot that drafts for a rep, or on autopilot that acts on its own. Deciding which mode fits which workflow, what each agent is allowed to see and say, and how your team learns to trust it is the work we do.
An agent without your ICP, messaging, proof points and call history writes generic emails at scale. We give each agent the right sources and prompts.
Who can let an agent send on autopilot? Which data can it read through MCP? What can it never claim? We write those rules down and build them into the platform.
AI features go unused when reps don't see where they fit. We train each role on the workflows that save them time and measure who is using what.
We scope, prompt, test and roll out Outreach's AI agents across prospecting, research, personalization and deal work, starting in copilot mode and moving workflows to autopilot only when the results earn it.
Research and personalization prompts built from a structured intake, not trial and error.
Call recording and AI analysis set up to coach to your methodology.
Outreach works as both an MCP server and an MCP client. We connect it safely to the AI tools your team already uses.
Deal health and forecasting tuned to your stages and sales cycle, so managers see real risk early.
A written AI policy for your Outreach instance, enforced in the configuration.
Role-based training so each team uses the AI that helps them, with adoption you can measure.
Agents read your CRM data, your sequences and your call history. If those are messy, the AI is too. Full Outreach implementation is still the base of what we do, and every AI engagement starts by checking it.
A forecast built on deal signals instead of rep optimism, and a clear view of what the AI investment is returning.
Kaia scorecards that surface coaching moments, and Deal Agent risk flags before the pipeline review.
Account research in minutes, personalized first drafts, and talk tracks that show up during the call.
Renewal and expansion plays triggered by engagement signals, plus account recaps ready before every meeting.
Review CRM sync, data quality, sequences and current AI usage. Identify the workflows where AI will pay off first.
Define each agent's job, sources, guardrails and review mode. Write the AI governance policy with your leaders.
Configure agents, prompts, Kaia and MCP connections. Test against real accounts in copilot mode before rollout.
Train each role on its workflows. Set up adoption and output reporting so you can see what's working.
Review agent output and pipeline impact each month. Move proven workflows toward autopilot and retire what isn't working.
"As an implementation partner for Outreach, David has successfully onboarded a variety of companies. The customers Outreach has sent to David for setup and training at times require unique configurations and guidance. He has efficiently learned their workflows, aided in technical configuration, and trained the users with success."
"This has been a very good onboarding experience. I'm really thrilled that Julie set us up with you, and I'm glad that we had this baked in. I don't know how we would have gotten this off the ground without all of the dedicated support from Lyte Sales."
"Extremely helpful and professional. Would recommend his service to anyone looking to get the most out of Outreach. The level of expertise and responsiveness made all the difference for our team."
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Book 30 minutes. We'll look at how you use Outreach today and point to the two or three AI workflows likely to pay off first.