Agentic Workflow Orchestration

Multi-agent systems that execute your enterprise workflows end-to-end

Solnix designs and deploys multi-agent orchestration systems that connect across your entire software stack, retrieving data, making decisions, executing actions, and escalating to humans only when needed.

Multi-agent workflow · contract review pipeline · live run
Research AgentRUNNING
Fetching contract clauses from legal DB
340ms
Summarizer AgentWAITING
Queued for Research Agent output
Approvals AgentCOMPLETE
Sent approval request to CFO via Slack
120ms
Audit LoggerCOMPLETE
Wrote decision trail to Snowflake
88ms
HUMAN OVERSIGHT PANEL1 approval pending · 0 escalations
85%
Reduction in manual handoffs
< 2s
Average agent response time
100%
Decisions auditable
60 days
Typical time-to-ROI

Overview

From task request to completed outcome, without human bottlenecks

Most enterprise workflows die in handoffs: a task waits in an inbox, a request sits in a queue, an approval blocks downstream work. Agentic orchestration eliminates the waiting by deploying specialized AI agents that execute each step autonomously, retrieving the data, running the logic, calling the API, sending the notification, writing the audit log, in sequence and in parallel, with human oversight where it matters.

What's included

Multi-Agent Pipeline Design

We architect pipelines of specialized agents, each owning one task type, coordinated by an orchestrator that routes work, manages state, and handles failures without human intervention.

Enterprise System Integration

Agents connect to your real stack: Salesforce, SAP, ServiceNow, Slack, Snowflake, SharePoint, and 100+ others, using MCP servers with scoped credentials and full audit trails.

Intelligent Routing & Escalation

Workflows don't just execute, they reason. When an agent encounters ambiguity or risk above a threshold, it routes to a human with full context, recommended action, and a one-click decision interface.

Long-Horizon Task Execution

Agents maintain state across multi-step tasks that span hours or days, procurement approvals, contract reviews, compliance audits, with checkpointing, retry logic, and failure recovery built in.

Workflow Governance & Audit

Every agent decision, tool call, and data access is logged with timestamp, rationale, and outcome, producing the audit trail your compliance team and external auditors require.

Human-in-the-Loop Controls

We design the oversight interfaces that keep humans in control: approval queues, intervention thresholds, confidence gates, and kill switches, so automation never runs blind.

Developer experience

Simple API. Powerful results.

Integrate in minutes with our SDK. Full TypeScript support, comprehensive documentation, and live examples for every feature.

contract-review-workflow.yaml
# Solnix agentic workflow, contract review
$solnix workflow init contract-review
agents: [research, summarize, risk-flag, approve]
tools: [legal-db, slack, docusign, snowflake]
escalation_threshold: risk_score > 0.7
$solnix workflow run --doc contract_v3.pdf
✓ Clauses extracted · risk: low · sent for sign
✓ Audit logged to Snowflake · 4.2s total runtime

How it works

From setup to production

01

Workflow Mapping

We map your existing workflow: every handoff, every system touchpoint, every decision point, identifying which steps are automatable and which need human judgment.

02

Agent Architecture Design

We design the agent topology: which agents own which tasks, how they pass state, what tools each accesses, and where escalation triggers fire.

03

Integration & Safety Build

We build MCP server integrations for each system, configure credential scoping and audit logging, and implement the human oversight interfaces and kill switches.

04

Gradual Rollout & Validation

We deploy in shadow mode first, agents run alongside existing processes, results compared, then graduate to autonomous operation once quality thresholds are met.

01

Workflow Mapping

We map your existing workflow: every handoff, every system touchpoint, every decision point, identifying which steps are automatable and which need human judgment.

02

Agent Architecture Design

We design the agent topology: which agents own which tasks, how they pass state, what tools each accesses, and where escalation triggers fire.

03

Integration & Safety Build

We build MCP server integrations for each system, configure credential scoping and audit logging, and implement the human oversight interfaces and kill switches.

04

Gradual Rollout & Validation

We deploy in shadow mode first, agents run alongside existing processes, results compared, then graduate to autonomous operation once quality thresholds are met.

FAQ

Common questions

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