Agentic AI & MCP

Build autonomous systems with a human heartbeat.

NorthCape Technology designs, ships, and scales AI agents and Model Context Protocol tools that amplify every team. From research copilots to autonomous service desks, we deliver measurable outcomes in weeks, not quarters.

Agentic delivery

Launch autonomous teams of AI workers that plan, execute, and report on outcomes across your stack.

MCP native

Leverage the Model Context Protocol to plug in knowledge bases, operational tools, and your proprietary systems.

Human in the loop

Blend orchestration, guardrails, and approvals so your experts stay in control of critical decisions.

AI Control Center

Real-time telemetry, agent performance dashboards, and approval queues keep humans in control while agents go to work.

Time-to-value
< 30 days
Automated workload
60%
Accuracy uplift
+35%
Latency
sub-second
Telemetry, feedback, and changelog synced to your preferred channels.

Delivery model

Cross-functional pods that ship the future of work.

Every engagement blends AI engineers, designers, and product strategists. We orchestrate discovery, orchestration, and ongoing optimisation so you get production-ready AI that compounds value over time.

OpenAI Anthropic Azure AWS Bedrock LangChain Supabase Postgres Notion

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

Agentic playbooks

Pre-built accelerators tuned to your domain.

We deploy a growing library of proven patterns that connect your data, tools, and workflows. Each playbook is customised with MCP tooling, human oversight, and analytics to ensure adoption sticks.

Growth

Market intelligence copilots

Autonomously synthesize market signals, generate outreach collateral, and orchestrate the next best action across your revenue stack.

  • Lead research compression
  • Hyper-personalized outreach
  • Live CRM updates
Operations

Autonomous service desks

Resolve tickets, surface anomalies, and trigger workflows across tooling like Jira, ServiceNow, and Opsgenie without human babysitting.

  • First-response in seconds
  • Playbook consistency
  • Root cause briefs
Product

Continuous discovery

LLM agents monitor feedback streams, triage bugs, and propose roadmap updates backed by real user evidence.

  • Voice-of-customer insights
  • Friction heatmaps
  • Prioritized backlog

Implementation timeline

Transparent milestones from kickoff to value.

Our delivery framework keeps stakeholders aligned, risks visible, and outcomes measurable at every step.

Phase 1

AI strategy sprint

Stakeholder interviews, risk profiling, and measurable success framing.

Phase 2

Prototype + playbacks

Ship working flows inside a sandboxed environment with your data.

Phase 3

Pilot launch

Deploy guardrails, hook into MCP tools, and onboard your team.

Phase 4

Scale + optimize

Telemetry-backed iteration, retraining loops, and operations handover.

Ecosystem connectors

MCP toolkits built around your stack.

Tap into our catalogue of MCP-compliant connectors or commission new ones. We handle security reviews, hosting, and lifecycle management so your agents have trusted ways to take action.

OpenAI Anthropic Azure AWS Bedrock LangChain Supabase Postgres Notion HubSpot Salesforce Linear Jira Slack Teams

Ready to activate your agent workforce?

Tell us about your use case and we will return with a tailored roadmap, risk assessment, and investment model.

AI solution FAQs

Everything you need to know before we build together.

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.