AscentCore Insights HUB
Leave the deterministic steps to the deterministic executor.
Insights is a no-code AI automation platform where every business process becomes a governed, repeatable pipeline — built visually, orchestrated through one hub, and run inside your own infrastructure. Reasoning where you need it. Determinism where you don't.
Don't pay a reasoning model to re-think the same task 10,000 times. Fix the plan once — then let it run.
One governed hub for every AI initiative
The HUB is where orchestrations live. Chain MCP calls, decision branches, AI steps, and coding agents into a single flow that runs on schedule or on demand — with parallel branches that run together and results that route themselves.
- Orchestrate everything — workflows, skills, agents, MCP servers, Claude Code & Codex — through one interface
- Branching logic: route on conditions like "if security issues are reported" without touching code
- Real-time run status and history: every step shows what it is and what it did
- Your identity, your rights — every action runs under the user's own credentials, always traceable
Build the pipeline once. Validate it once. Trust it forever.
Drag blocks onto a canvas and connect them into a Directed Acyclic Graph. Data flows deterministically from node to node — the same inputs always produce the same structured output. No drift, no surprises, no re-planning on every run.
- Visual, no-code canvas — domain experts build their own automations, not just engineers
- Deterministic by design: suitable for finance, compliance, QA, and operations
- Iterator & Aggregator patterns process millions of rows, then stack the results
- Publish as a scheduled job, REST API, chatbot, or Slack command
Govern every credential, tool server, and skill in one place
Vault-backed credentials are leased to a workflow only for the duration of a run and revoked the moment it ends — credentials are never at rest. The same connectors power both the HUB and Insights workflows.
Plus a growing catalog of MCP servers and reusable skills — registered once, reused everywhere, monitored for health in real time.
90+ building blocks. Every step of a process, ready to drop on the canvas.
When you add a step, you pick a category and an action. Each block is documented, versioned, and does exactly one thing — deterministically. Here's what the library covers.
Data Sources & Import
Load documents, call any REST API, scrape pages, or read straight from your systems of record.
AI & Agents
Embed an LLM at any node, run coding agents, add RAG memory, or call registered agents and MCP tools.
Process & Transform
Filter, dedup, merge, split, chunk, and reshape — pure, repeatable operations with no model in the loop.
Jira & Integrations
The deepest Jira coverage in the library — read, write, transition, link, and manage R4J & XRay — plus Jenkins CI/CD.
Code Analysis
Clone, search, and diff repositories, then run dependency impact analysis and CVE scans at a fraction of agent cost.
Logic & Control
Conditionals, iterators, jumps, state variables, and human-in-the-loop review — the flow control that makes runs predictable.
Testing & QA
Generate structured, traceable test cases from requirements — with deterministic coverage planning and Figma vision grounding.
Search & Knowledge
Build a vector or knowledge-graph index from your own content, then query it semantically inside a workflow.
Results & Output
Export files, generate Markdown reports, publish REST endpoints, or email results — the last mile of automation.
Pay only for the AI that earns its place
Trailing-30-day usage from a live enterprise deployment. Most steps run on local models at zero inference cost — premium models are reserved for the work that truly needs them.
An autonomous agent re-thinks. A deterministic executor just runs.
Both have a place. The trick is knowing which to use where — and Insights lets you use both in the same flow, sending reasoning to an agent only when the task genuinely needs it.
An autonomous agent, every request
- Re-plans from scratch: what do I need, where is it, how do I get it
- Burns premium tokens on thinking — every single run
- Can decide differently each time — unpredictable output
- Limited by what it can hold in memory at once
An Insights workflow
- The plan is fixed once, when it's built
- Every run follows the same path — no re-thinking, no re-paying
- Same input, same output, every time — fully auditable
- Goes straight to the source and fetches exactly the right data
Reasoning is expensive. Repetition should be free.
Leave the deterministic steps to the deterministic executor.