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Platform · Maestro

Run Operations From the Chat, Not a Dozen Tabs

Investigating an issue means jumping between the ERP, the monitor, the ticket, and email, and approvals stall waiting for someone to open the right screen. Symphony Maestro brings conversational IT operations to Microsoft Teams, investigating on live data, recommending with evidence, and executing the decision under governance once a person approves.

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★★★★★4.7 / 5 on Gartner Peer Insights
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Dashboards to Switch
Investigate, approve, and execute inside Microsoft Teams, not across a dozen open tabs
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Actions on the Record
Every recommendation and execution logged with identity, evidence, and outcome
0×7
In the Flow of Work
The co-pilot sits where teams already work, around the clock and follow the sun
The context-switching tax

Operations Lives in a Dozen Tabs

A single decision means gathering context across systems, and by the time it is assembled the context is stale and the approval is still sitting in an inbox waiting for a name.

01

Swivel-chair operations

One decision means switching between the ERP, the monitor, the ticket, and email to gather context, and it is stale by the time it is assembled.

02

Approvals stuck in email

A purchase order or a stock reallocation waits in an inbox for a name to notice it, while the business waits on the outcome.

03

Context without action

Chat assistants answer questions and summarise, but cannot execute the decision in the system, so the person still does the work.

04

No record of the reasoning

Decisions made across tools leave no single trail of what was checked, what was decided, and why it was the right call.

Watch it act

Real Decisions, Made and Executed in the Chat

These are in-library scenarios. Maestro surfaces the issue, investigates on request, recommends with the evidence, and executes in the system once a person approves, all inside Microsoft Teams.

Procurement Approval · Purchase order approval in Teams
1
Surface
Maestro flags a pending purchase order in Teams with the amount, material, and vendor, and asks how to proceed.
2
Investigate
On request, it checks inventory levels, price variance against recent orders, and any open quality hold on the vendor across the ERP.
3
Recommend
It returns a clear recommendation with the evidence, for example reject on excess inventory, above-tolerance pricing, and an unresolved quality issue.
4
Execute
On approval, it rejects or approves the order in the ERP, notifies the vendor, and records the decision in the audit trail.
A procurement decision made in minutes with full context, executed in the ERP and logged, without leaving Teams.
Order Reprioritization · Blocked orders and stock allocation
1
Surface
Maestro alerts that a premium customer has orders blocked on material a lower-priority customer holds in confirmed stock.
2
Investigate
It evaluates stock allocation across customers and the delivery window each one actually needs.
3
Recommend
It proposes reallocating the confirmed stock to the premium customer and rescheduling the other within its window.
4
Execute
On approval, it unblocks and reallocates the orders in the ERP, reschedules the other, and notifies both customers.
A revenue-critical order unblocked in the flow of a chat, with both customers kept informed.
Invoice Exception · Three-way match failures
1
Surface
Maestro reports an invoice that failed automatic three-way matching, with the price variance against the purchase order.
2
Investigate
On request, it checks the contract and vendor correspondence for a price amendment or a surcharge clause.
3
Recommend
It explains that a contracted price-escalation clause matches the invoice and the order was raised before it took effect, and proposes approving and amending.
4
Execute
On approval, it updates the purchase order and releases the payment in the next run, with a full record.
A matching exception resolved with the contract evidence in hand, not a week of back-and-forth.
Job Recovery · Batch job failures from Teams
1
Surface
Maestro reports a critical batch job failure overnight and the downstream jobs it blocks, and begins root-cause analysis.
2
Investigate
It reads the system and database logs and identifies a temp tablespace exhaustion as the cause.
3
Recommend
It applies the safe fix, clears the orphaned space, and asks to restart the job.
4
Execute
On approval, it restarts the job so the downstream jobs run on schedule, and logs the resolution.
An overnight failure recovered from a phone, with the downstream financial close protected.
Governed execution

A Co-Pilot That Acts Within the Rules

Letting an assistant act in a production system is only safe if it acts as a known person, within their authority, and on the record. Maestro is built that way from the first screen, not as a compliance afterthought.

Acts under the approving identity

Every action carries a real user identity mapped to each system's native authorisations, never a shared or elevated service account.

Human approval on every change

Maestro recommends and a person decides, so nothing executes in a system until it has been explicitly approved.

Investigates before it acts

It reads live data first and shows the numbers behind the recommendation, so the decision rests on current facts, not a stale screen.

Bounded by existing permissions

Maestro can only ever do what the approving user already can, so it never widens access or bypasses a control.

One audit trail

The question, the evidence, the decision, and the action are captured as a single record for the auditor.

The model never executes

Maestro proposes, and the governed engine carries out the action through standard APIs, so no model touches a system directly.

The shift

From a Chatbot That Answers to a Co-Pilot That Acts

Most assistants became good at answering and routing. The gap is doing the work, and that is what Maestro closes, inside Teams and under governance.

Assistants today

Chatbots and ticket bots

  • Answers questions but cannot execute the decision
  • Bound to the ticket, blind to the ERP and the numbers
  • Approvals still routed through email and screens
  • Read-only, so the person still does the work
  • No single record of what was checked and decided
  • Generic replies, not grounded in operational context
With Maestro

A co-pilot that operates

  • Investigates, recommends with evidence, and executes
  • Reaches across the ERP, monitoring, and contracts
  • Approvals happen in Teams and act immediately
  • Governed execution under the approving identity
  • One audit trail of evidence, decision, and action
  • Grounded in live operational data, not a script
One governed engine

Maestro Is the Conversational Mode of One Governed Engine

Symphony applies AI in three governed modes across operations. Maestro is the conversational one, for the decisions a person should own, and it shares the same engine, identity model, and audit trail as the rest.

01 · Rules

Rule-based orchestration

Deterministic execution where the logic is fixed and the outcome is binary, so routine work runs without any reasoning.

02 · Conversational

Maestro co-pilot

Human and AI in dialogue for ambiguous work, investigating, recommending, and executing on approval inside Microsoft Teams.

03 · Ambient

isAI autonomy

Continuous AI that detects, diagnoses, and self-heals known faults on its own, escalating only what is genuinely new.

Explore the governed orchestration engine
Lives where teams work

In Microsoft Teams, Connected to the Systems That Matter

Maestro runs on the governed Symphony engine and 400+ nodes, sits inside Microsoft Teams, and reaches the systems a decision actually depends on, across any ERP and any SaaS.

Collaboration
Microsoft TeamsOutlook
ERP
SAPOracleMicrosoft DynamicsWorkday
Ops and ITSM
ServiceNowJiraCloud ALMMonitoring
Business data
ProcurementSalesPricingContractsDatabases
Models (BYOM)
OpenAIAzure OpenAIBedrockGeminiPrivate

400+ prebuilt nodes plus custom scripts. Maestro lives in Microsoft Teams and reaches any system Symphony can, across any ERP, not just one.

Built for regulated enterprises

Autonomy a Team Can Actually Trust

In role
Acts under the approving user's identity, never a shared account
Identity
Human-approved
Nothing executes in a system until a person approves it
Control
In Teams
Lives where teams already work, with no new tool to adopt
Adoption
Any ERP
SAP, Oracle, Dynamics, and more through one governed engine
Coverage
4.7 / 5
Rated by enterprise reviewers on Gartner Peer Insights
Verified

Frequently Asked Questions

Refer to this section for answers to frequently asked questions related to conversational IT operations.

What is conversational IT operations?

Conversational IT operations means running operations from a chat, not just asking about them. Symphony Maestro investigates across systems, returns an evidence-backed recommendation, and executes the decision through a governed engine after a person approves, all inside Microsoft Teams, so the decision and the action happen in one place.

Does Maestro actually execute, or just answer?

It executes. After a person approves, Maestro carries the action into the system, approving or rejecting a purchase order, reallocating stock, updating a contract, or restarting a job, through the governed engine under the approving identity, and records the result. It is a co-pilot that acts, not a chatbot that only answers.

How does approval and governance work?

Maestro is human-in-the-loop by design. It recommends, a person decides, and only then does it execute, through standard APIs under the approving user's own authorisations. Every step, the question, the evidence, the decision, and the action, is captured in one audit trail, so nothing runs without a record.

How is Maestro different from a copilot or a virtual agent?

Most copilots and virtual agents summarise, answer, and route tickets, then stop at the system boundary. Maestro investigates on live operational data, recommends with the numbers behind it, and executes the decision in the system after approval, so the work is done, not just described.

Which processes and systems can Maestro run?

Procurement approvals, order reprioritization, invoice exceptions, and batch-job recovery are proven in the library, across finance, supply chain, and IT operations. It works across any ERP and any SaaS, so the same pattern extends to any process Symphony can reach through an API.

See Operations Run Inside Microsoft Teams

The conversation is exploratory and shaped by the processes and decisions walked through during the session, from the tabs open today to a single governed conversation.

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