AI Agents
What AI agents actually do,
and how we build them.
AI agents are software systems that take action. They read inputs, make decisions, call APIs, update records, and trigger downstream processes. When built well, they handle the operational work that currently requires a person to coordinate.
What makes them different
AI agents vs standard automation
Standard automation follows rules. AI agents make decisions. That distinction matters when the work is variable, context-dependent, or requires judgment that can't be pre-programmed.
Understands context, not just commands
AI agents read intent from unstructured inputs like emails, tickets, forms, and documents, and act accordingly. They don't need the input to be perfectly formatted to do the right thing.
Orchestrates multi-step workflows
A single agent can check a CRM, cross-reference a data source, write a response, update a record, and trigger a downstream workflow, all in sequence, with appropriate decision logic at each step.
Integrates with your existing stack
We build agents that connect to the tools your team already uses: HubSpot, Salesforce, Intercom, Notion, PostgreSQL, Slack, and more. No rip-and-replace required.
Enterprise-grade reliability
Production deployments include error handling, logging, alerting, and fallback logic. You'll know when something needs attention before it becomes a problem.
Agent types
AI agents we build for B2B operations
Not off-the-shelf templates. Each is scoped and built to your process, your stack, and your team.
Sales & Revenue Operations Agent
Monitors your CRM for data quality issues, enriches new records, routes leads based on configurable criteria, and triggers follow-up workflows when deals stall or go quiet.
Measurable outcomes
- CRM hygiene maintained without manual audits
- Lead-to-first-contact time reduced significantly
- Pipeline visibility improved across the revenue team
Marketing Operations Agent
Manages lead nurture sequences triggered by behavior, consolidates attribution data across channels, coordinates campaign workflows, and delivers performance reports without manual pull.
Measurable outcomes
- Leads nurtured based on actual behavior, not elapsed time
- Attribution data synced to CRM without manual export
- Campaign reporting consolidated and delivered automatically
Customer Support Agent
Triages and routes inbound tickets by category and priority, handles common questions without agent involvement, monitors SLAs, and escalates when deadlines are at risk.
Measurable outcomes
- Routine cases resolved without agent time
- SLA breaches flagged before they happen
- Support team focused on complex cases, not ticket sorting
Customer Success Agent
Tracks health signals across your product and CRM data, surfaces at-risk accounts before they churn, and automates the prep work that consumes CSM bandwidth every week.
Measurable outcomes
- At-risk accounts surfaced earlier with context attached
- CSM prep time for reviews reduced by hours per week
- Onboarding milestone tracking without manual spreadsheets
Operations & Handoff Agent
Manages the cross-team handoffs that fall through the cracks by attaching context, routing to the right person, sending reminders, and escalating when deadlines aren't met.
Measurable outcomes
- Handoffs completed with full context attached
- Approvals and status updates handled without chasing
- Operational SLAs tracked and enforced automatically
Data & Reporting Agent
Pulls from multiple sources, reconciles discrepancies, formats outputs for specific audiences, and delivers reports on a schedule, without anyone spending hours on the prep.
Measurable outcomes
- Reporting time reduced from hours to minutes
- Single source of truth maintained across tools
- Executives get consistent data without RevOps bottlenecks
The stack
Technology, explained honestly
Every tool in our stack was chosen because it solves a specific problem well, not because it's trending.
Orchestration
We build on n8n as our primary orchestration layer. It's a tool your team can see into and understand, not a black box.
AI Models
Model selection is based on task requirements. We don't default to the most expensive option.
Data & Storage
We work with your data infrastructure, not around it.
Integrations
We build native integrations, not workarounds.
On our use of n8n specifically: We chose n8n as our primary orchestration platform because it gives clients visibility into what we've built. Every workflow is inspectable. Your team can see the logic, understand the triggers, and maintain it without being locked into us. That's intentional.
Ready to talk
Ready to talk through a specific use case?
We're genuinely happy to spend 30 minutes on your situation, even if the right answer is that AI agents aren't the right tool yet.
Get in touch
Tell us about your situation
Give us some context and we'll come to the conversation prepared. No generic pitch. No obligation.
We review every inquiry personally and respond within one business day.