Services · AI agent development

AI Agent Development Services for Enterprises

Solnix is an AI agent development company that builds custom agents for real business workflows: agents that read documents, query and update your CRM or ERP, answer customers, and escalate to a person when they should. We design, build, evaluate and deploy them in your environment, and you own everything we build.

Updated · 6 min read · Solnix Media

Key takeaways

  • Agents built around your systems and approval rules, with a full audit trail of every action.
  • A working prototype on your data within 3 to 5 weeks; standard target of production within about 60 days.
  • Fixed-price milestones, and you own all code, prompts, evaluation sets and models.

AI agents we build

Common AI agent types
AgentWhat it doesTypical systems
Document and back-office agentsRead invoices, claims, contracts and forms; extract, validate and post data; route exceptionsERP, document stores, email
CRM and ERP agentsUpdate records, draft quotes, reconcile data and run multi-step processes with approvalsSalesforce, SAP, ServiceNow, Dynamics
Customer service agentsResolve common requests end to end and hand over to a person with full contextHelpdesk, chat, order and billing systems
Knowledge agentsAnswer staff questions from policies, tickets and documents with citations, respecting access permissionsSharePoint, Confluence, Google Drive, wikis
Multi-agent workflowsCoordinate specialised agents across a longer process, such as intake, review and approvalWorkflow engines, queues, internal APIs
Developer and IT agentsCode review, test generation, documentation and incident triageGitHub, GitLab, Jira, observability tools

How we build reliable agents

  1. 01

    Map the workflow

    We document the steps, systems, decisions and exceptions in the process today, and agree where the agent acts alone and where a person approves.

  2. 02

    Connect tools safely

    Agents reach your systems through scoped tools and APIs, including Model Context Protocol (MCP) servers, with least-privilege credentials and rate limits.

  3. 03

    Evaluate before launch

    We build evaluation sets from your real cases and measure accuracy, cost and latency, re-running them before every model or prompt change.

  4. 04

    Guardrails and oversight

    Policy checks, confidence thresholds and human approval steps for high-impact actions, with every step logged for audit.

  5. 05

    Deploy and hand over

    Deployment in your cloud or data centre, monitoring dashboards, runbooks and training so your team can run and extend the agents.

Models and frameworks

We are model-agnostic and choose on your tasks, data rules and budget rather than on vendor relationships. Typical builds use hosted frontier models through your cloud provider or open-weight models hosted privately, with orchestration in LangGraph, the OpenAI Agents SDK, the Claude Agent SDK or plain code, depending on what your team will maintain.

How to choose an AI agent development company

  • Ask to see how agents are evaluated: a partner should measure accuracy on your own cases before launch.
  • Ask how actions are controlled: scoped permissions, approvals for high-impact steps, and a complete audit log.
  • Ask for a prototype on your data before a large commitment.
  • Confirm ownership of code, prompts, evaluation sets and any fine-tuned models.
  • Prefer fixed milestones over open-ended time and materials for the first build.

Frequently asked questions

What do AI agent development services include?

Workflow mapping, agent design, tool and system integrations, evaluation, guardrails and human approval steps, deployment in your environment, monitoring and handover. Solnix delivers all of these with the same team.

How much does it cost to build an AI agent?

It depends on the number of systems, the complexity of the decisions and the volume. Solnix prices builds as fixed milestones after a scoping phase, and starts with a paid consultation from $100 that is credited toward the build.

How long does AI agent development take?

Our standard is a working prototype on your own data within 3 to 5 weeks and a first production agent within about 60 days, depending on system access and approvals.

How do you stop AI agents making mistakes?

Agents act through scoped tools, are tested against evaluation sets built from your real cases, and route low-confidence or high-impact actions to a person. Every step is logged so it can be reviewed.

Can AI agents work with Salesforce, SAP or ServiceNow?

Yes. We connect agents to CRM, ERP and ITSM systems through their APIs or MCP servers, with the same permissions and audit requirements as a human user.

Do you work with companies in the US, UK and UAE?

Yes. We work remotely with clients in the United States, United Kingdom, UAE, Canada, Australia and Singapore.

Scope your first AI agent

Book a consultation to pick the workflow with the best payback, review system access, and get a plan for a prototype on your data.

Related

Talk to usRequest a demo