Your tools don't talk to the models
The value is locked in your CRM, tickets, and documents. Integration is what turns a chatbot into a system that knows your business.
The fastest path to value isn't a new platform — it's AI embedded in the systems your team already lives in. We integrate LLMs and AI agents into your CRM, helpdesk, ERP, and internal tools: securely connected to your data, deployed to your infrastructure, maintained by your team.
The value is locked in your CRM, tickets, and documents. Integration is what turns a chatbot into a system that knows your business.
The built-in 'AI assistant' in your SaaS tools doesn't know your process. A proper integration does exactly what your workflow needs.
Data residency, access control, audit trails. We design integrations that pass review — not ones that route customer data through a black box.
The prototype runs in a notebook or a separate app nobody opens. Integration into the daily tools is what makes adoption automatic.
Concrete deliverables — not a deck and a goodbye.
LLM-powered features inside your CRM, helpdesk, ERP, Slack, or internal apps — where the work already happens.
Your documents and records made available to the models safely — grounding, permissions, and freshness handled.
Role-based access, audit logging, and data-handling boundaries that pass infosec review.
Runs where you run — your cloud, your VPC, your compliance perimeter. With monitoring from day one.
A four-step path from the first honest audit to embedded.
Two weeks inside your operation. Workflows mapped, leverage points identified, an honest read of what's worth automating.
A sequenced plan: what to build, in what order, with what guardrails. Tied to outcomes you can measure.
We embed and ship. Real agents, real evaluations, real deployments. Code your team owns at the end.
Hand-off, training, and a 90-day support window. Your team runs the system; we stay reachable.
Scoping the use case, connecting the model to your systems and data (APIs, webhooks, retrieval pipelines), building the workflow logic and guardrails, security and access design, deployment to your infrastructure, and handoff with documentation. The result is AI working inside your existing tools — not another tab.
Most modern stacks: CRMs like Salesforce and HubSpot, helpdesks like Zendesk and Intercom, Slack and Teams, ERPs, data warehouses like Snowflake and BigQuery, and custom internal tools. If it has an API — or even just a database — we can usually integrate it.
Integrations run inside your compliance perimeter: your cloud accounts, your access controls, audit logging on every AI action. We design what data the models can see, mask what they shouldn't, and document the data flows for your security team before anything ships.
In practice they're the same engagement. 'Implementation' usually means the full arc — picking the use case, building, and rolling out — while 'integration' emphasizes wiring AI into existing systems. We do both: every implementation we ship is integrated into the tools your team already uses.
Focused integrations — say, an AI layer inside your helpdesk — typically ship in 4–6 weeks. Deeper work involving multiple systems and data pipelines runs 8–12 weeks. The audit stage gives you a scoped estimate before you commit.
Most AI strategy work ends in a slide deck.
Read more Agent developmentWe're an AI agent development company that designs, builds, and deploys custom AI agents wired into your real systems — your CRM, your helpdesk, your data warehouse.
Read more AI automationMost of what your team does each week is repeatable: intake, triage, data entry, reporting, follow-ups.
Read more Chatbot developmentA chatbot that guesses is a liability.
Read more Team trainingTool licenses don't make a workforce AI-fluent.
Read more AI auditTwo weeks inside your operation.
Read moreA 30-minute call. Bring the workflow that's hurting most. We'll tell you, honestly, whether this is the right lever — and where we'd start.