Symphony vs Orca: how agentic delivery engines actually differ

By Nick Beaugeard · 6 minute read · ← All posts

Two firms in the Australian market talk openly about their own "agentic delivery engine": Mantel Group's Orca and our own Symphony. They look similar from a distance. Both use autonomous AI agents under human direction, both compress work that used to take months, both claim audit trails and tests. Up close they are designed for completely different jobs. If you are evaluating either, it is worth knowing which.

Orca: built for migration

Orca is Mantel Group's agent-based framework, and its public positioning is migration-centric. The canonical use case is "we need to move a data platform off Oracle and onto Snowflake, and the schema work is murderously slow." Orca reads source artefacts, produces migration-ready target artefacts, and compresses the mechanical mapping work that used to live in consultant hours. It is a powerful accelerator for a specific class of enterprise transformation where the target state is already known.

That is a real, valuable product. It wins against manual migration consulting on cost and schedule in programs where the question is "how do we get from here to there without drowning in YAML."

Symphony: built for bespoke product delivery

Symphony is something else. We built it because the work we care about is greenfield product and modernisation of bespoke platforms — situations where the target state is being figured out as we go, not handed over in a design document.

The job Symphony does is take a brief and turn it into working, tested, documented software in days. The pipeline runs in phases: problem shaping, architecture, build, test, documentation, review. The principal makes every meaningful decision; the agents do the mechanical work between decisions. Tests and documentation ship with every change, not at the end. The client owns the repository from day one.

Why the difference matters for buyers

The two engines encode different beliefs about where human judgement belongs.

Orca assumes the target is known. Its value is speed of mechanical transformation. A senior consultant sets up the rules, agents execute, outputs get reviewed.

Symphony assumes the target is being discovered. Its value is keeping a senior principal close enough to the build that architectural decisions happen in minutes, not weeks. Agents amplify that principal's output rather than replace review cycles.

Orca is an accelerator for migrations. Symphony is a compressed delivery cycle for bespoke product work. Pick the one whose operating assumption matches the problem you are actually trying to solve.

What the shared category label hides

"Agentic delivery engine" is becoming a marketing noun across AU consulting in 2026. That is fine, but it hides the interesting detail. When you hear the phrase, the useful questions to ask are:

• What job is this engine specifically designed for?
• Where does human judgement sit in the loop — at the rules layer, or inline with every decision?
• Who owns the code and artefacts the engine produces — you, or the consulting firm?
• What ships with every change: just the code, or the code plus tests plus documentation plus audit trail?

Those answers separate a productised delivery engine from a marketing layer.

So which should you buy?

If you are lifting a well-understood enterprise data platform from one vendor to another, talk to Mantel about Orca. If you are building or modernising a bespoke product and want a senior principal steering every meaningful decision while the mechanical work happens in the background, talk to us about Symphony. The categories are real. The operating models are different. Both are fine answers to different questions.