AI agents that actually work.
Autonomous systems that handle research, outreach, and operations—with humans in control of what matters.
< 30 days
Time-to-value
60%
Automated workload
+35%
Accuracy uplift
sub-second
Latency
What we build
Discovery to deployment
Strategy workshops, rapid prototypes, and production hardening handled by one blended team of AI engineers and product leaders.
- Technical due diligence: assess data, security, and integration surface
- Design sprints that prove ROI with working demos in under 3 weeks
- Guardrail engineering for compliance, observability, and safety
Agentic workflows
Composable agent architectures tuned for knowledge work, operations, and revenue teams.
- Role-based agents that coordinate via shared memory and goals
- Workflow library for research, prospecting, support, and delivery
- Continuous evaluation with sandboxed test suites and synthetic feedback
MCP integrations
NorthCape builds and maintains custom MCP tools so your agents can act inside critical systems securely.
- Connectors for CRMs, ERPs, data warehouses, and private APIs
- Fine-grained permissioning with audit-ready traceability
- 24/7 managed infrastructure with automated retraining and updates
Ready-to-deploy playbooks
Market intelligence copilots
Autonomously synthesize market signals, generate outreach collateral, and orchestrate the next best action across your revenue stack.
Autonomous service desks
Resolve tickets, surface anomalies, and trigger workflows across tooling like Jira, ServiceNow, and Opsgenie without human babysitting.
Continuous discovery
LLM agents monitor feedback streams, triage bugs, and propose roadmap updates backed by real user evidence.
Ready to activate your AI workforce?
Tell us about your use case and we'll come back with a tailored roadmap.
From idea to production
AI strategy sprint
Stakeholder interviews, risk profiling, and measurable success framing.
Prototype + playbacks
Ship working flows inside a sandboxed environment with your data.
Pilot launch
Deploy guardrails, hook into MCP tools, and onboard your team.
Scale + optimize
Telemetry-backed iteration, retraining loops, and operations handover.
Works with your stack
Common questions
What is the Model Context Protocol (MCP)?
MCP standardizes how agentic systems discover and invoke tools. We design bespoke MCP tools so your agents can reason over and act within your ecosystem securely.
Can you work with our existing AI stack?
Yes. We integrate with existing LLM providers, vector stores, and orchestration layers. Our modular architecture lets us slot into what you already have.
How do you keep humans in control?
We pair agent autonomy with review gates, escalation policies, and full audit trails so your experts remain the final authority on high-impact actions.