Enterprise AI Agent Development
Purpose-built for specific roles inside your organization. Integrated with your systems. Deployed in 6–12 weeks. Designed to augment your team's expertise — not replace it.
We design, build, and deploy AI agents tuned to your specific context. Built to augment your expertise, not replace it. Whether you're an executive managing complex decisions, an operations leader optimizing workflows, or a product leader accelerating development, your agent becomes a true partner.
An always-on expert that amplifies your judgment, elevates your creativity, and helps you achieve outcomes neither of you could alone.
Every custom AI agent we build follows our proven 5-step process:
Partnership from day one. Impact by week one.
Who This Is For
We build agents for specific roles — not generic "AI assistants." Each agent is tuned to the workflows, tools, and judgment calls that role actually makes.
Operations
Monitor workflows, triage exceptions, and draft status updates — so ops leaders spend their time on the calls only they can make.
Finance
Variance analysis, board-deck drafting, and reconciliation prep — the repetitive layers of FP&A work that eat analyst time.
HR & People
Candidate screening, employee Q&A, and policy lookup — keeping your People team focused on the human conversations, not the paperwork.
Sales
Account research, meeting prep, and CRM hygiene — so reps show up to every call with the context they would have built manually.
Customer Support
Ticket triage, first-draft responses, and escalation routing — with your best support reps reviewing before anything goes out.
Knowledge Work
Research synthesis, document drafting, and meeting prep — tailored to the specific judgment calls a particular analyst, PM, or lead makes.
Don't see your role? We build for any role where the work is partly repetitive and partly judgment. Start a conversation and we'll scope it with you.
Common Questions
A custom AI agent is an AI system purpose-built for one specific role's workflow — with access to that role's tools, data, and context — rather than a generic chatbot. It takes actions inside your systems, follows your business rules, and is designed around how the person it partners with actually works.
Off-the-shelf tools answer general questions with general context. A custom AI agent knows your systems, your processes, and the specific role it partners with. It can access your CRM, your reporting tools, and your documentation — and it follows your rules for what good output looks like in your organization. Our guide on custom AI agents vs. off-shelf tools walks through when each approach is right.
A focused first agent typically takes 6 to 12 weeks from scoping to production for a team-scale use case. Timeline depends primarily on integration complexity and evaluation depth, not on model selection. We recommend starting small — one role, one agent — to compress the first timeline. See our 90-day AI adoption timeline for the week-by-week view.
Expect $40,000 to $250,000 for a team-scale first agent, depending on integrations, evaluation depth, and security review requirements. Enterprise-wide agents with deep system integration land higher. The first agent is the most expensive; subsequent agents in the same organization typically cost 30 to 50 percent less. For the full picture, see hidden costs beyond the technology budget.
We integrate with the systems your role already uses: CRM (Salesforce, HubSpot), ERP (SAP, Workday, NetSuite), collaboration (Slack, Teams, Google Workspace, Microsoft 365), support (Zendesk, Intercom), and custom databases or APIs. Enterprise identity via SSO, SAML, and SCIM is standard. If your role uses it, the agent can usually reach it.
Custom agents are built with your security team from day one. Typical controls include SSO and role-based access, data isolation per deployment, full audit logging, no training on your data, and support for SOC 2 and vendor risk reviews. Deployment happens in your environment or a dedicated tenant, not a shared one.
More questions? See the full FAQ or read our enterprise AI strategy guide.