Enterprise AgentsClaude
Claude AI.
Governed for the enterprise.
Certified Anthropic Partner, backed by 23+ years of Oracle, NetSuite, Salesforce and Microsoft implementation. We deploy Claude at scale, connect it to the systems your business actually runs on, and build the governance layer that makes it production-ready.
Anthropic: native AI and dotSolved.ai agentsNative AI
What Anthropic Offers Natively
Anthropic gives you frontier models and an open standard for connecting them to real systems. dotSolved.ai implements both at enterprise scale, with governance, security, and change management built in.
- The Claude model family (Opus, Sonnet and Haiku), spanning deep reasoning, high-volume work and latency-sensitive calls; current models are listed at anthropic.com
- A 1M-token context window on current Claude models, enough to reason over entire contract sets, ledgers and code repositories in a single request
- Model Context Protocol (MCP), the open standard for connecting agents to enterprise systems and data
- Claude Agent SDK and Claude Code, for building and running agents that operate on real systems
- Claude on Amazon Bedrock, Google Cloud, and Microsoft Foundry, so inference runs inside the cloud you already trust
dotSolved.ai Original
What dotSolved.ai Builds on Top
The model is the easy part. What stops enterprise Claude deployments is everything around it: reaching governed data, controlling spend, and proving to an auditor what happened.
Governed Claude Gateway
The Problem
Claude adoption starts team by team. Within a quarter, finance, engineering, and support are each calling it directly, and nobody can answer what data left the enterprise, what the workloads cost, or who signed off.
The Outcome
A single governed entry point for every Claude workload. Model routing by task complexity and cost, full prompt and response audit trails, data-loss controls at the boundary, and per-department chargeback. Adoption stays fast; governance stops being a bottleneck.
MCP Connector Suite for Enterprise Platforms
The Problem
Claude reasons well, but it cannot reach Oracle, NetSuite, or Salesforce data without someone exporting it first. That export is exactly what security will not approve, so pilots stall before production.
The Outcome
Governed MCP servers that expose ERP and CRM data to Claude as read-only tools. Your existing row-level and field-level security is enforced on every request, Claude receives only the results each request returns, and every call is logged.
In practice
Use Cases
Need governed Claude answers on ERP and CRM data rather than a custom agent? See Claude for enterprise.
Can Claude answer questions about our Oracle data without copying it out?
Yes. The MCP Connector Suite exposes governed, read-only tools rather than data extracts. Claude queries through the connector, your security model is enforced on every call, and only the results of each query reach Claude.
Which Claude model should each workload run on?
The Governed Claude Gateway routes by complexity and cost: Opus for deep multi-step reasoning, Sonnet for high-volume production work, Haiku for latency-sensitive calls. Teams call one endpoint; routing is a policy decision, not a code change, so a new model from anthropic.com is a policy update rather than a rewrite.
Can we run Claude inside our own cloud account?
Yes. Claude is available on Amazon Bedrock, Google Cloud, and Microsoft Foundry. dotSolved.ai deploys into the cloud and region you already have contracted, so inference runs under your existing security and data-residency posture.
How does this connect to the rest of our AI estate?
Nexatron is MCP-native, so it becomes a governed data tool that Claude can query across Oracle, NetSuite, Salesforce, and your warehouse in a single request. Claude supplies the reasoning; Nexatron supplies the trusted, federated data.
Nexatron by dotSolved Inc
Connect Claude to business data through Nexatron
See how supported applications connect to Nexatron and how Claude accesses its analytical tools through MCP. Review the setup, permissions and source scope before your first question.
Explore Nexatron's Claude connectionSet up
Enterprise Agents for Other Platforms
FAQ
Frequently Asked Questions
What Anthropic capabilities does dotSolved.ai implement?
dotSolved.ai implements the Claude model family (Opus, Sonnet and Haiku; see anthropic.com for current models), the Model Context Protocol for connecting agents to enterprise systems, and the Claude Agent SDK for building production agents. We deploy on the Claude API or on Amazon Bedrock, Google Cloud and Microsoft Foundry, with enterprise governance, data access controls and audit trails built in.
What original AI agents does dotSolved.ai build for Anthropic?
dotSolved.ai builds the Governed Claude Gateway (model routing, cost controls, audit trails, and data-loss prevention across every Claude workload) and the MCP Connector Suite for Enterprise Platforms (governed, read-only MCP servers exposing Oracle, NetSuite, and Salesforce data to Claude without extracting it).
Do we still need dotSolved.ai if our team already uses Claude?
Direct Claude access is straightforward to start. Running it across a regulated enterprise is a different problem: connecting it to ERP and CRM data without violating your security model, controlling spend across departments, and producing the audit trail your auditors will ask for. That is the work dotSolved.ai does, backed by 23+ years of Oracle, NetSuite, Salesforce and Microsoft implementation.
Does our data get used to train Anthropic's models?
No. Anthropic does not train its models on enterprise API traffic by default. On top of that, dotSolved.ai deploys the Governed Claude Gateway so you control exactly what data reaches the model, with logging and data-loss controls at the boundary.
Plan your first governed Claude agent
Bring one workflow, the systems it needs to reach and the person who will own it. We will show what Claude offers natively, where the Gateway or an MCP connector earns its place and how we govern both.