Custom AI agents, built inside your business
An Agentica engineer learns the workflow with your team, builds against the systems it uses, and proves the agent beside the current process. The first deployment is scoped around one measure and one operating boundary.
Built for your context
When off-the-shelf doesn't fit your workflow
The valuable workflows are often shaped by your own data, rules, and accumulated judgment. We map that context first, then decide which part of the process an agent can own safely.
The engagement
Embedded engineers, a scoped pilot, then production
Embed & map
An engineer sits with your team, learns the workflow, and identifies the highest-ROI place to start.
Test before you switch
We build against your real data and run the agent alongside your existing process, so nothing breaks while we prove it works.
Ship to production
Once it clears your success metric, the agent goes live on your infrastructure, monitored and supported.
Scale faster
Once we’re connected to your systems and understand your environment, each new automation becomes significantly faster to deploy.
Built for your context
What you get
Production engineers
Engineers who ship production code on-site, not consultants who ship slides.
ROI before novelty
Agents aimed at high-volume, repetitive, cognitively expensive work, measured against a metric you set.
Proven components
Every deployment starts from a tested engineering foundation, reducing delivery risk without mixing client data or operating context.
Use cases
Real deployments. Measurable outcomes.
Agents that keep everyday operations moving. Automate repetitive workflows across your systems, coordinate tasks, and escalate exceptions when human input is needed. Example agents: Order & request processing · Document workflows · Data entry & reconciliation · Internal approvals · Exception handling
Agents that give your sales team more time to sell. Automate research, CRM work, follow-ups, and sales administration while keeping your team in control of customer relationships. Example agents: Lead research & enrichment · Meeting preparation · CRM updates · Follow-up automation · Proposal generation
Agents that turn fragmented marketing data into action. Connect data across channels, automate recurring analysis, and help teams identify what is working and where to act next. Example agents: Campaign performance analysis · Cross-channel reporting · Content workflows · Market & competitor monitoring · Lead intelligence
Agents that automate the work between documents, systems, and decisions. Handle repetitive finance workflows, reconcile data, prepare reports, and flag anomalies for review. Example agents: Invoice processing · Payment reconciliation · Financial reporting · Cash-flow monitoring · Expense classification
Agents that resolve routine requests and know when to escalate. Work directly within your existing support stack, using company knowledge and customer context to handle repetitive cases end-to-end. Example agents: Ticket resolution · Email response automation · Knowledge retrieval · Request classification & routing · Escalation handling
Agents that continuously check, document, and escalate. Automate high-volume compliance workflows while preserving auditability and human oversight for sensitive decisions. Example agents: Sanctions screening · KYC/KYB workflows · Document verification · Policy checks · Compliance monitoring
Pricing
Priced to budget, not to a meter
Deployment
One-time fee
Subscription
Fixed fee
A one-time deployment fee to build and ship the agent. Then a flat subscription for hosting, monitoring, support, and improvement. We don't meter tokens, so your bill doesn't move because an agent reasoned longer or ran more often.
Not sure about the pricing and how it works?
FAQ
Custom agents, practically
What’s a forward-deployed engineer?
A forward-deployed engineer works directly with your team to understand the workflow, systems, and constraints behind the problem. They turn that context into a working agent — from mapping the process and integrations to deployment in production.
How is this different from a consultancy or software house?
We don’t stop at recommendations, and we don’t build from a specification in isolation. Our engineers work alongside your team, identify where agents can create measurable value, build against real workflows and data, and stay accountable through production.
How long until a custom agent is in production?
Most deployments start with a focused pilot designed to prove value quickly (4-8 weeks). Once the agent meets agreed success criteria, we move it into production. Timing depends on complexity, integrations, data access, and security requirements.
Who owns the agent and our data?
You do. Your data remains yours. We can deploy into your infrastructure or an agreed private environment, depending on your requirements.
What does it cost?
Custom deployments combine a one-time deployment fee with a predictable monthly subscription for hosting, monitoring, support, and continuous improvement. Pricing depends on the scope and complexity of the workflow — not on how many tokens your agent consumes.
Can you work with our existing systems and infrastructure?
Yes. We build around your existing stack rather than asking you to replace it. Agents can integrate with your internal tools, APIs, CRM, databases, and workflows, with deployment adapted to your security and infrastructure requirements.
Bring us your hardest workflow
Tell an engineer what your team does by hand today. We'll tell you what an agent could take off their plate, and how fast.