Enterprise AI workflow orchestration platform
Deploy AI agents that bring enterprise workflows to production with complete operational visibility and security within your owned and managed environments.
Our Clients
Run enterprise AI workflows that are governed, traceable, and production-ready
When your teams work across disconnected systems using isolated AI tools and manual approval processes, operational gaps begin slowing execution across the business. Fragmented workflows, stale operational data, and limited governance then make it harder to scale AI automation safely as adoption grows. Needle, Softweb’s enterprise AI orchestration platform, helps you operationalize AI workflows using live enterprise data, governed execution, and real-time workflow coordination.
We help you build and operationalize AI workflows with a team of 120+ AI and data specialists backed by 21 years of enterprise software and integration expertise. Needle environments are configured around your infrastructure, governance requirements, and operational workflows to support secure orchestration across owned and managed environments, including on-premise infrastructure and private cloud deployments.
The Needle difference in enterprise AI orchestration
The gap between AI pilots and AI that safely runs enterprise operations appears clearly across these operational metrics.
<15 min
Governed workflow deployment
50+
Enterprise system integrations
Multi-model
Model-agnostic orchestration
100%
Infrastructure sovereignty
What prevents enterprise AI workflows from scaling reliably?
85% of enterprise AI initiatives fail to reach production because organizations struggle with governance, infrastructure control, workflow fragmentation, and operational visibility.
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AI workflows operate as disconnected systems
Many enterprises use separate tools for chat, automation, retrieval, and integrations. Without a unified layer, these tools produce fragmented workflows that resist both scale and consistent governance.
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AI systems rely on stale operational data
Traditional RAG systems depend on static vector snapshots that quickly become outdated. Agents then operate on information that no longer reflects the current state of your business.
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Enterprises lack visibility into AI execution
AI workflows often operate as black boxes with limited traceability. Your operations, compliance, and IT teams cannot clearly audit decisions, tool usage, execution paths, or operational costs.
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Cloud-only deployment creates governance risks
Many AI platforms force organizations into cloud-native environments that do not align with security, compliance, or data residency requirements.
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Workflow scaling increases operational complexity
As automation grows, managing credentials, approvals, integrations, and execution states across departments becomes increasingly difficult to manage without dedicated orchestration infrastructure.
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AI agents cannot safely operate within business systems
Most orchestration environments lack governed authentication and permission controls. Agents interacting with ERP, CRM, and operational systems without these controls create significant security exposure.
How Needle solves enterprise AI orchestration challenges
Needle combines AI-driven retrieval, enterprise workflow orchestration, and governed execution within one environment. Your teams can build, monitor, and scale AI workflows across departments without rebuilding infrastructure for every use case.
Unified agentic workflow canvas :
Bring document retrieval, AI reasoning, and enterprise workflow execution into one orchestration environment. Your teams can design workflows visually, connecting agents, systems, approvals, and business actions in a single logical flow.
- Design workflows visually across AI agents, tools, triggers, and enterprise systems
- Combine RAG-based retrieval with real-time workflow execution in one environment
- Support multi-agent collaboration with human approvals and escalation paths
Needle design assistant :
Unlike typical orchestration platforms, the Needle Assistant allows teams to build, modify, and refine workflow orchestrations through natural language interactions instead of manually assembling orchestration logic. Needle converts business requirements into executable workflow logic while allowing teams to refine workflows conversationally.
- Describe business goals and generate workflow logic automatically
- Modify workflow steps, triggers, and agent behavior through conversational updates
- Interact directly with deployed agents to refine execution and reasoning paths
Decentralized credentials and delegated authentication :
Employees provide their own credentials within shared enterprise workflows, so agents operate within individual access permissions rather than shared administrative accounts. The decentralized credential model allows secure workflow access using approved user tokens and controls.
- Support delegated authentication for Salesforce, SAP, Jira, and enterprise platforms
- Maintain existing MFA and enterprise access policies across workflows
- Deploy shared workflow templates while respecting user-level permissions
Agentic observability and execution traceability :
Monitor every workflow execution step with detailed visibility into agent reasoning, tool usage, latency, and operational outcomes. Needle gives you the governance layer required for production-grade deployment.
- Track workflow execution paths and AI-driven decision flows in real time
- Monitor latency, token usage, workflow performance, and execution outcomes
- Maintain audit-ready execution records for compliance and operational governance
Needle across industries
Electronics
BOM risk and component qualification
Strategic challenge
Engineers manually cross-reference component datasheets, supplier records, and availability data to qualify parts for production. The process is time-intensive and creates design delays when components become obsolete or restricted during development cycles.
Orchestrated outcome
Autonomous agents monitor component availability, identify obsolescence risks in real time, and surface qualified alternates by querying live supplier systems and cross-referencing datasheet specifications directly.
Platform capabilities
Live data intelligence, cross-document reasoning, and unified workflow orchestration
Semiconductor
Sovereign R&D shield
Operational friction
The use of cloud-based AI tools for sensitive design research creates a persistent risk of intellectual property exposure, particularly where proprietary chip designs or process specifications are involved.
Orchestrated results
An orchestration layer keeps proprietary designs and research within owned and managed environments while automating data synthesis, document retrieval, and research workflows across internal systems.
Core capabilities
Managed environment deployment, PII entity masking, and Model agnosticism
Supply chain
Autonomous procurement coordination
Operational friction
Disconnected vendor systems require repetitive manual re-ordering, creating procurement delays, inventory gaps, and cost inefficiencies across the supply chain.
Orchestrated results
Autonomous agents coordinate procurement actions across CRM and ERP systems, triggering replenishment workflows within established budget and policy guardrails without manual intervention.
Core capabilities
Standardized connectivity (MCP), Delegated authentication, and Unified workflow design
Semiconductor
Yield governance hub
Operational friction
Manual audit cycles for production yield reporting lack real-time transparency and increase compliance risk, particularly where discrepancies between expected and actual yield require documentation.
Orchestrated results
Agentic workflows monitor production lines continuously and maintain a complete, auditable trace for every quality-related decision, flagging discrepancies as they occur rather than during post-cycle review.
Core capabilities
Agentic traceability, Stateful execution, and Centralized monitoring
What architectural foundation supports enterprise-scale AI
orchestration?
Needle is built for enterprises that require deployment sovereignty, governed execution, and integration across existing infrastructure. The platform supports orchestration across on-premise, hybrid, and cloud environments without forcing vendor lock-in.
Standardized ecosystem connectivity (MCP)
Needle supports Model Context Protocol (MCP) integrations that connect AI workflows with enterprise platforms such as Salesforce, SAP, GitHub, HubSpot, Jira, and internal systems.
Infrastructure sovereignty (Docker-first)
Deploy Needle using Docker-first architecture across on-premise infrastructure, hybrid deployments, and owned and managed environments while maintaining enterprise data residency and infrastructure control.
Durable workflow execution
Workflow execution states persist through interruptions, restarts, and infrastructure failures. This prevents duplicate execution and preserves operational context across long-running workflows.
Multi-provider model routing
Connect multiple LLM providers within one orchestration environment. Needle supports routing and failover across enterprise AI models without vendor lock-in.
Multi-layer security isolation
Tenant isolation is enforced across workflow execution, middleware, and data access layers, protecting sensitive operational and enterprise data across environments.
Enterprise performance analytics
Monitor workflow execution performance, operational latency, system utilization, and AI execution costs through centralized analytics and observability layers.
How does Needle move from pilot workflows to enterprise deployment?
Needle follows a phased implementation model that allows enterprises to validate workflows, establish governance, and scale orchestration capabilities incrementally across operational environments.
Identify operational workflows, integration points, governance requirements, and business objectives. Deploy the first governed AI workflow into a managed production-ready environment.
Monitor workflow execution, evaluate operational outcomes, and establish visibility into workflow traceability, system interactions, and performance metrics.
Expand orchestration workflows across departments, enterprise systems, and operational environments while establishing long-term governance and optimization models.
Enterprise AI delivers long-term value when execution becomes governed and repeatable.
Deploy your first governed workflow with Needle in 30 days and establish a scalable orchestration model across your enterprise systems.
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