Services/Agentic AI systems

Capability

Agentic AI systems

Agents that act in your systems, with controls you can audit.

Supporting depth for workflow automation: tool-using agents, orchestration, escalation, and evaluation. Built for production, not demos.

What we build

The engineering pieces included under this capability.

01

Tool use

Call APIs, update CRM/ERP records, trigger workflows, and write back results.

02

Orchestration

Multi-step and multi-agent flows with clear handoffs and failure paths.

03

Human oversight

Approval gates for high-risk actions. Override and escalation stay in design.

04

Guardrails

Scoped permissions, allowlists, and policy checks before side effects.

05

Memory & audit

Run state, decision logs, and traces operations teams can review.

Example use cases

Concrete jobs this capability is built for. Not a full project proposal.

01

Support & ops triage

Read an incoming ticket, pull context from your systems, draft or take the next step, and pause for human approval when the risk is high.

02

Research & briefing

Gather sources, structure findings, and produce a draft briefing for a person to review before anything is shared or acted on.

03

CRM / ops enrichment

Look up a company or account, update fields, and draft follow-ups without letting the agent rewrite CRM data unsupervised.

Build path

  1. 01

    Map the workflow

    Steps, systems, decision points, and where autonomy is safe.

  2. 02

    Design controls

    Tools, permissions, evals, and approval rules before build.

  3. 03

    Ship and measure

    Integrate, deploy, and track acceptance metrics in production.

Typical stack

Orchestration

LangGraphCrewAIcustom runtimes

Runtime

PythonFastAPIRedisPostgreSQL

Models

OpenAIAnthropicopen-weight options

Need this in production?

Bring the use case and constraints. We will say if a sprint or pilot fits.

Book a 2-week architecture sprint