Agents as a Service
The agents your revenue team actually uses.
Seven agent types, one context layer, and a managed service that keeps them performing. Each agent does one job well, and all of them share the same view of every account.
Voice Agents
Inbound and outbound calling agents that qualify, book, follow up and hand off warm to your reps.
- Speed-to-lead callbacks
- Inbound reception & routing
- Qualification calls
Chat Agents
Website, in-app and messaging agents that answer, qualify and book meetings while buyers are still on the page.
- Inbound qualification
- Instant meeting booking
- Product & pricing Q&A
Email Agents
Agents that work your inboxes: reply handling, signal-triggered outreach, follow-ups and shared-inbox triage.
- Reply handling
- Signal-triggered outreach
- Meeting follow-ups
Research & Prospecting Agents
AI SDR-style agents that research accounts, map buying committees, watch for triggers and brief your reps.
- Account research briefs
- Buying-committee mapping
- Trigger monitoring
CRM & RevOps Agents
Agents that keep your CRM clean and current: hygiene, call-to-CRM updates, deal risk, routing and forecast prep.
- Call-to-CRM updates
- Data hygiene
- Lead routing
Service & Success Agents
Support and customer success agents that triage, resolve, spot churn risk and prepare renewals.
- Ticket triage
- Knowledge-grounded resolution
- Churn-risk signals
Context-Driven Agents
The context layer underneath: your CRM, calls, docs and signals, unified so every agent acts on the full picture.
- Unified account context
- Playbook memory
- MCP servers for your stack
Custom agents
Have a workflow that isn’t listed? Partner portals, quoting, onboarding, collections: if it’s repeatable and has data, we can build an agent for it.
Tell us the workflowContext-driven agents
One context layer. Every agent on the same page.
Your voice agent knows what the email agent sent. Your CRM agent knows what was said on the call. That shared context is what separates useful agents from noisy ones.
Your data
- CRM records
- Calls & meetings
- Email & calendar
- Docs, pricing & playbooks
- Intent & web signals
- Tickets & product usage
Context layer
One permissioned view of every account
- Permissions
- Retrieval
- Memory
- MCP
- Evals & tracing
Agents
- Voice
- Chat
- Research
- CRM
- Service
Actions
- Book the meeting
- Update the CRM
- Send the emailhuman check
- Route the lead
- Escalate to a humanhuman check
What’s included
Everything it takes to run agents in production.
Agents as a Service is a single engagement covering build, hosting and continuous improvement, so you get outcomes without hiring an AI team.
Context layer
Connections to your CRM, calls, email, docs and signals, with permissions enforced.
Agent build
Conversation design, tools, prompts and integrations, built for your workflow.
Evaluation
A test set of real scenarios that every release must pass before it ships.
Hosting & monitoring
Run in our cloud or yours, with uptime, cost and quality monitoring.
Human-in-the-loop
Approval queues and escalation paths in Slack, Teams or your CRM.
Monthly improvement
Outcome reviews, tuning, model upgrades and new skills every month.
Start with a 2–4 week Agent Sprint
One workflow, one production agent, clear success metrics. Then decide whether to scale.
Can we start with a single agent?
Yes, and we recommend it. Pick the workflow with the clearest cost or pipeline impact, prove it, then expand.
Where do the agents run?
In our managed cloud by default, or inside your own AWS, Azure or Google Cloud account if your security team prefers. Native agents run inside Salesforce, HubSpot or Zoho.
Can we take the agents in-house later?
Yes. Everything is documented, and we can transition operations to your team with a handover period.
What do you need from us to start?
A workflow owner, access to the relevant systems (sandbox first), examples of great work such as calls, emails or tickets, and an hour a week for review during the build.
Next step
Pick one workflow. We’ll have an agent running it in weeks.
Book a 30-minute call. We’ll map your highest-leverage use case, show a working agent and tell you honestly what it would take.