Bringing together the scalability of workflow and the power of agentic AI.
Each feature answers a different problem that breaks when AI productivity has to scale beyond a single operator.
Smart document upload
Drop in scope documents, RFPs, architecture papers, RAID logs, slide decks. Altabric reads each one, decides what kind of document it is, summarises it twice, and routes it into the right context layer.
- Heterogeneous formats — PDF, DOCX, XLSX, PPTX, HTML, plain text.
- Dual-tier summarisation, produced once and reused across every agent invocation.
- Tiered routing — universal, scope-owned, work-item-attached, related.
Configurable workflows
Every pathway is a readable definition — who runs each step, what they produce, who reviews it, where the human approval gate sits. Change a step, swap a reviewer, add a new pathway. Without shipping code.
- Declarative workflow definitions — readable, reviewable, version-controlled.
- Producer, reviewer, approver pattern applied consistently across every step.
- Multiple pathways out of the box — design, UAT preparation, change readiness, analysis.
Context management
Sending an AI everything you have is expensive and noisy. Altabric does the opposite — for each task, it assembles a budgeted context tailored to what that task actually needs. You don't manage this. You can see exactly what was sent.
- Five compression levels — full, rich summary, summary, headline, omit.
- Archetype-driven assembly — the right context for the kind of task being done.
- Token budgets managed per task — observable, not opaque.
How our agents work
Agents are assembled at runtime to make sure they get the right information for the task at hand. Three streams converge into every invocation — who the agent is, what it's been asked to do, and what it needs to know.
- Stable identity — role prompt, project-specific skills, organisational grounding.
- Task handed in by the workflow — a different brief every time.
- Context assembled fresh per work item — same role, different context, different output.
Across all four — the same four principles.
The capabilities are the how. These are the why.
Predictable workflows
The same path, every time. Defined once, run again and again.
Traceable decisions
Every artefact attributed. Every decision recorded. Every input linked.
Human approval where it matters
Work moves when a human says it does. Not before.
Configurable workflows and AI agents
Design refinement as a 3-step process, then pooled into solutions documents.
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