Agentic AIServices

Our forward deployed engineers plan, build, and deploy agentic solutions and platforms in your environment, from your first agent to an enterprise platform, and leave your team able to run them.

Advisory & Strategy

Decide where agents belong and what it will take to get them there.

Agentic AI Strategy & Use-Case Design

Find where agents create real value in your organization, choose the right approach for each use case, and build a roadmap you can execute.

  • Use-case discovery & prioritization
  • Model & technology selection
  • Solution architecture
  • Build vs. buy analysis

Readiness & Architecture Assessment

Review your data, systems, security posture, and any existing agents to see what is ready, what is missing, and what will break first.

  • Platform & infrastructure review
  • Existing agent review
  • Production readiness scorecard
  • Prioritized remediation plan

Agent Governance & Operating Model

Decide what agents may do on their own, what needs a human, and who owns them, so adoption can scale without losing control.

  • Autonomy & approval policies
  • Ownership & support model
  • Responsible AI guidelines
  • Compliance mapping

Build & Deploy

Agentic solutions and platforms, built and deployed in your environment.

Agentic Platforms

Deploy and configure the shared foundation your teams use to build and run agents: governed model access, routing, policy, and observability.

  • Model access & gateway configuration
  • Policy, quotas & cost controls
  • Shared agent services & templates
  • Self-service developer experience

Agents & Agentic Workflows

Build agents that do real work in your business processes, from structured, workflow-driven automation to autonomous, multi-step agents.

  • Workflow-based agents
  • Autonomous & multi-agent systems
  • Human-in-the-loop approvals
  • Long-running & background agents

Custom Agent Harnesses

Build internal agents and tools your organization fully owns, shaped around your systems, security requirements, and the way your teams work.

  • Harness design & engineering
  • Context & memory design
  • Sandboxed execution
  • Model-agnostic interfaces

Tools, Integrations & Data

Connect agents to the systems where work happens, through well-scoped tools and secure access to your data.

  • Tool design & interfaces
  • Model Context Protocol (MCP) servers
  • API & data connectors
  • Retrieval & knowledge access

Deployment & Production Hardening

Deploy into your cloud or on-premises environment with the persistence, security, observability, resilience, and performance production demands.

  • Infrastructure as code
  • Identity, secrets & least privilege
  • Tracing, logging & audit trails
  • Reliability & cost optimization

Evaluation & Quality

Measure whether agents actually work, judging them by what they did and not what they said, and catch regressions before your users do.

  • Task suites & graders
  • Outcome-based checks
  • Regression gates in CI
  • Model comparison

Enable

Grow the in-house capability to build and run agents without us.

Co-Build Engagements

Our forward deployed engineers build alongside yours on a real use case. You leave with a working solution and a team that can build the next one.

  • Pair programming
  • Shared delivery backlog
  • Knowledge transfer plan
  • Handover documentation

Technical Advisory

Ongoing access to senior agentic AI engineers for design decisions, architecture and code reviews, and unblocking your teams.

  • Architecture reviews
  • Design office hours
  • Code & prompt reviews
  • Technology guidance

Platform Team Setup

Stand up the internal team that owns your agentic platform, sets standards, and helps the rest of the organization build agents.

  • Team charter & structure
  • Reference architectures
  • Internal standards & templates
  • Adoption metrics

Looking for Corporate Training?

We offer hands-on engineering bootcamps, production and platform workshops, and executive briefings, delivered on-site or virtually.

View Training Programs

How an Engagement Works

Short feedback loops, working software early, and a deliberate handover.

1

Discover

Embed with your team, map the work, set success criteria, and confirm an agent is the right tool.

2

Design

Choose models and infrastructure that fit, and design the solution around your systems and constraints.

3

Build & Deploy

Ship in short iterations into your environment, measuring each version against real tasks.

4

Harden & Hand Over

Make it production-ready, then hand over the code, runbooks, and know-how.

Ready to Get Started?

Tell us what you want to build, or which team you want to upskill. We'll propose a practical first step.