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Services

Systems, notsubscriptions.

Four capabilities covering the whole path from a process nobody wants to do, to an agent that quietly does it. Engineered around your operation, deployed into your infrastructure, owned by you.
01Custom AI Agent02Agentic Workflow Architecture03AI Automation Infrastructure04Business System Integration

Custom AI Agent Development

A single agent that reliably owns a workflow end to end.

ClaudeMCPVector searchTypeScriptPython

Purpose-built agents scoped to one job and engineered to do it reliably — reasoning over your data, calling your internal tools, and escalating to a human at the exact point where judgment is required. Not a wrapper around a prompt: a typed toolset, a memory model, guardrails, and evaluation harnesses that prove it works before it touches production.

What we build

  • Tool-use and function-calling design
  • Retrieval over your own knowledge base
  • Structured output with schema validation
  • Human-in-the-loop approval gates
  • Evaluation suites and regression testing
  • Cost, latency and token budgeting

Complex Agentic Workflow Architecture

A system that handles the messy 20% instead of breaking on it.

Orchestration graphsQueuesEvent streamsPostgres

When one agent is not enough, we architect systems of them — an orchestrator that decomposes the work, specialists that execute in parallel, and adversarial verifiers that check the output before anything is committed. State machines, retries, compensating actions and audit trails, so a failure in step seven never silently corrupts step three.

What we build

  • Orchestrator and specialist topologies
  • Parallel fan-out with deterministic control flow
  • Verification and self-correction loops
  • Durable state, retries and compensation
  • Full-trace observability per run
  • Deterministic replay for debugging

AI Automation Infrastructure

Automation that runs 24/7 and tells you when it needs you.

DockerAWS / GCP / AzureObservabilityCI/CD

Agents are only useful when they run unattended. We build the layer underneath: queueing, scheduling, secrets, rate-limit handling, model failover, caching, and dashboards that tell you what ran, what it cost and what it decided. Deployed to your cloud, in your accounts, under your keys.

What we build

  • Deployment to your cloud, your accounts
  • Model routing and provider failover
  • Prompt caching and cost controls
  • Monitoring, alerting and run history
  • Secrets management and access control
  • CI/CD with staged rollouts

Business System Integration

One operating picture instead of ten disconnected tools.

REST / GraphQLWebhooksMCP serversETL

An agent that cannot reach your CRM is a demo. We connect to the systems your business actually runs on — ERP, CRM, helpdesk, billing, data warehouse, internal APIs — with idempotent writes, permission-aware reads and reconciliation, so automation becomes part of the operation rather than a parallel one.

What we build

  • CRM, ERP and helpdesk connectors
  • Internal and legacy API adapters
  • Idempotent, reversible write paths
  • Permission-aware data access
  • Warehouse and reporting sync
  • Migration off brittle no-code glue
Architecture

One Agent, or a System of Them

Most automation stalls because a single agent was asked to do a job that needed a team. Knowing which shape a problem wants is most of the work.

Topology A

Single Agent

One reasoning loop with a tight toolset. Fast to build, easy to reason about, and the right answer far more often than vendors admit.

TaskINPUTAgentREASON · ACTCRMDatabaseEmailResultOUTPUTONE LOOP · ONE CONTEXTDeterministic scope, fast to ship
Topology BOur specialty

Multi-Agent System

An orchestrator decomposes the work, specialists run in parallel, and a verifier refuses to let a bad result through. Built for the messy cases.

PLAN · DELEGATE · VERIFYOrchestratorDECOMPOSES WORKResearchSPECIALISTExecuteSPECIALISTEnrichSPECIALISTVerifierADVERSARIAL CHECKRETRY
DimensionSingle AgentMulti-Agent System
Best forOne bounded jobProcesses with branches and exceptions
Failure modeRetry the loopIsolate, verify, compensate
ContextA single windowPartitioned across specialists
Ship timeWeeksWeeks to a couple of months
Engagement Models

Two Ways to Work Together

Both start with the same discovery call and the same honest scoping. The difference is whether you need one system built, or a standing engineering partner.

Fixed scope

Project Build

Scoped per build/ one-time

A defined automation, designed, built, tested and handed over. You own the code and the infrastructure on day one.

  • Discovery workshop and automation audit
  • Architecture document before any code
  • Full build, evaluation suite and deployment
  • Source code and infrastructure handover
  • Team enablement and runbook
  • 30 days of post-launch support

Best when you have one high-value process to automate.

Start the conversation
Most chosenOngoing retainer

Automation Partner

Monthly retainer/ per month

A continuous engineering relationship: we keep your agents running, improve them against real usage, and ship the next automation on a rolling roadmap.

  • Everything in Project Build
  • Rolling roadmap of new automations
  • Monitoring, on-call and incident response
  • Continuous evaluation against live data
  • Model upgrades and cost optimisation
  • Priority access and quarterly reviews

Best when automation is becoming core to how you operate.

Start the conversation

Not sure which fits? Bring the problem to a discovery call — we’ll tell you which one it needs, including if the answer is neither.

Which of these does your week need?

Tell us where the hours actually go. We'll come back with the topology, the scope, and a real number.

Book a Discovery Call
official@nexryzen.com

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