Agent Orchestration Platform: Build Any Agent. Orchestrate Everything Everywhere.
Create AI agents, give each one the best LLM for its job, design workflows on a visual canvas, and orchestrate agents inside and across your applications. Human approval stays built in.
What Is an Agent Orchestration Platform?
An agent orchestration platform lets organizations build AI agents, assign each a large language model, connect them to business applications and coordinate them in workflows. The Synconics AI Platform provides a chat workspace with ready agents, an agent builder, a visual pipeline builder, a choice of any LLM per agent, and orchestration both inside one application and across many.
It connects 1,000+ applications such as Odoo, SAP, Salesforce and QuickBooks, and puts a human approval step wherever you need one. The platform is built by Synconics, an Odoo-certified AI and ERP partner with delivery centers in Canada and India.
Everything You Need to Build, Automate and Orchestrate AI Agents
Six capabilities in one platform. Each card scrolls to its section.
- 1
Agents in Chat
Talk to ready agents in the Workspace and ask them to act on your connected apps.
- 2
Agent Builder
Create your own agent for any business job, with its own knowledge, tools and permissions.
- 3
Visual Pipeline Builder
Draw workflows as flowcharts, then let agents run them automatically.
- 4
Best LLM Per Agent
Assign the right model to each agent and change it any time.
- 5
Multi-Agent Orchestration
Specialist agents coordinate inside one application.
- 6
Cross-Application Orchestration
One flow runs across your CRM, ERP, finance and more.
Talk to Agents in Chat, or Build Your Own
Start with agents that are ready to work. Create new ones when your business needs them.
Agents ready in chat
Open the Workspace and work with agents that already know your connected apps and documents. Ask in plain language and the agent finds, analyzes or acts.
| What a chat agent does | Example |
|---|---|
| Answers from your own records and documents | "What did this customer order last quarter?" |
| Acts in connected apps | "Create a draft quote for this request." |
| Asks another agent for help | A sales agent asks a finance agent to check credit. |
| Stops for approval on sensitive steps | "Ready to send. Approve?" |
How a user picks an agent in chat (selector, mention or automatic routing).
Build an agent for any business job
| Agent builder field | What you set |
|---|---|
| Role and instructions | What the agent is responsible for and how it should behave |
| Knowledge | The documents and records it may use |
| Tools and apps | The actions it may take in your systems |
| LLM | The model that powers it |
| Permissions and approvals | What it can do alone and what needs a person |
| Test | Run it on sample cases before anyone relies on it |
Design Workflows as Flowcharts. Let Agents Run Them.
Drag agents, app actions and decisions onto a canvas, connect them, add approval points and switch the workflow on.
The building blocks
| Block | What it does |
|---|---|
| Trigger | Starts the flow: an email, an event in an app, a schedule or a chat request |
| Agent | A reasoning step handled by an AI agent |
| App action | Reads or writes data in a connected application |
| Condition | Sends the flow down different paths based on a result |
| Human approval | Pauses the flow until a person approves or rejects |
| Notify | Sends the outcome to the right person or system |
Confirm the exact node types available in the builder.
Example pipeline: supplier invoice to posted bill
Illustrative example. Render as an animated flow component.
Trigger
Invoice arrives by email
Reader Agent
Extracts invoice fields
Matching Agent
Checks the purchase order and receipt in the ERP
Condition
Do they match?
App action
Post the bill in accounting
Human approval
Finance reviews the exception
App action
Post the bill
Notify
Supplier and owner
Why teams use the canvas
See the Whole Process
The flow is a picture anyone can read, not hidden logic.
Change a Step, Not the Flow
Swap an agent, model or app action without rebuilding.
Mix Models and Apps
Use a different LLM and a different app at each step.
Test Before Go-Live
Run the flow on sample cases first.
Approvals Where They Matter
Add a person at any point in the flow.
Put the Best LLM Behind Every Agent
One model rarely suits every job. Choose per agent, and even per step.
| Job | Model approach | Why |
|---|---|---|
| High-volume document reading | Faster, lower-cost model | Keeps cost per task low |
| Complex reasoning and exceptions | Most capable model | Accuracy matters most |
| Sensitive internal data | Private or sovereign model | Keeps data under your control |
| Replies in several languages | Model tested on your languages | Quality varies by language |
Illustration
In the invoice pipeline above, the Reader Agent can run on a fast, low-cost model while the Matching Agent runs on a more capable one.
Any LLM
Public, private, sovereign or hybrid.
Switch Without Rebuilding
Change a model and keep the agent, tools and knowledge.
Compare Before You Choose
Run the same test cases on two models.
Orchestrate Agents Inside One Application, or Across All of Them
Single agents answer questions. Orchestrated agents finish processes.
Within one application
What it is
Several specialist agents coordinate inside a single system
Example
A sales order in the ERP triggers a stock-check agent, a pricing agent and a credit-check agent. A lead agent assembles the answer.
Result
Faster, more complete decisions inside the system
Across applications
What it is
One flow moves work through several systems
Example
A signed deal in the CRM starts an order in the ERP, an invoice in accounting and a confirmation email.
Result
No more copying data between systems by hand
Orchestration patterns
| Pattern | How it works |
|---|---|
| Sequential | Agents work one after another, each using the last result |
| Parallel | Agents work at the same time and their results are merged |
| Supervisor-led | A lead agent assigns tasks, reviews results and resolves conflicts |
| Approval-gated | The flow pauses for a person at chosen points |
| Event-driven | An event in one application starts work in another |
Confirm which patterns the platform supports today and remove any that it does not.
Human Approval and Full Visibility in Every Flow
Automate the work. Govern the outcome. Keep people in control.
Confirm the detail of each card against the shipped product.
Approval Inbox
Sensitive actions wait for a person to approve or reject.
Run History
Every step, source and decision of each run, open for review.
Access Scopes
Each agent gets only the apps, data and actions you grant.
Usage and Cost
Track LLM usage and spend per agent and model.
Quality Checks
Re-run saved test cases whenever you change a model or instruction.
Pause Switch
Stop any agent or flow immediately.
How Teams Go Live
Confirm steps match the real onboarding flow, including whether setup is self-serve.
| Step | Title | What happens |
|---|---|---|
| 1 | Connect apps and knowledge | Choose integrations and link or upload documents. |
| 2 | Create or pick agents | Use a ready agent or build one for your job. |
| 3 | Assign the best LLM | Pick a model for each agent. |
| 4 | Draw the pipeline | Connect agents, apps and decisions on the canvas. |
| 5 | Add approvals and test | Place approval points and run sample cases. |
| 6 | Go live and monitor | Switch it on and watch results in the console. |
Orchestrate Across the Apps You Already Run
Filter by category. Missing an app? We build the connector.
| Category | Examples on the live page |
|---|---|
| ERP |
Odoo
SAP
Microsoft Dynamics
|
| CRM |
Salesforce
HubSpot
Zoho
|
| Commerce |
Shopify
WooCommerce
POS
Marketplaces
|
| Finance |
QuickBooks
Tally
Accounting systems
|
| Documents |
Google Drive
Dropbox
Enterprise repositories
|
| Custom |
APIs
Internal applications
Proprietary systems
|
Ask in Plain Language. Agents Do the Work Behind It.
Each question below sets several agents and apps in motion.
CFO
Finance"Which invoices last month don't match their purchase orders?"
What happens behind the scenes
A finance agent compares ERP and accounting records, lists exceptions and asks for approval on corrections.
Head of Sales
Sales"Which open deals have gone quiet?"
What happens behind the scenes
A CRM agent finds stalled deals, an ERP agent adds order history, and a drafting agent suggests follow-ups.
Operations lead
Operations"Which orders will miss their delivery date?"
What happens behind the scenes
Agents check stock, supplier updates and logistics data, then flag affected orders.
IT lead
IT"Which integrations failed overnight?"
What happens behind the scenes
A monitoring agent reviews connection logs and summarizes the impact.
Prompts are illustrative. Confirm each can be answered with current platform capabilities.
Why an Orchestration Platform, Not Another AI Tool
| Capability | Single-vendor AI assistant | Fixed-flow automation tool | Build it yourself | Synconics AI Platform |
|---|---|---|---|---|
| Choice of LLM | Usually one provider | Limited | Any, you integrate each | Any LLM, per agent |
| Visual workflow canvas | Rarely | Yes | You build it | Yes |
| Handles judgment and exceptions | Partly | No, fixed steps | You build it | Yes, with approvals |
| Multi-agent orchestration | Limited | No | You build it | Yes |
| Cross-application orchestration | Mostly its own ecosystem | Yes, fixed steps | You build each link | Yes, across 1,000+ apps |
| Upkeep when models change | Vendor-managed | Not applicable | Your team | Swap the model, keep the agent |
General comparison of typical approaches. Exact capabilities vary by product and implementation.
One Platform for Companies, Groups and Partners
Multi-tenant separation and partner delivery need product-team confirmation.
Multi-System Companies
Orchestrate agents across ERP, CRM, finance and documents from one place.
Groups With Several Entities
Give each subsidiary or business unit its own separate workspace.
Odoo and Technology Partners
Deliver AI-powered solutions to your own clients on the platform.
Teams Starting Small
Begin with one agent and one flow, then add more as results appear.
Frequently Asked Questions About AI Platform
A chat answer gives you information. An agent can also act: it reads records in your apps, makes decisions within rules you set and carries out steps such as drafting a quote or updating a record. When a step needs a person, it stops and asks for approval.
Explore the Synconics AI Ecosystem
Build Your First Agent. Orchestrate the Rest.
Book a demo and we'll create an agent, draw its pipeline and run it across your apps, with your choice of model and approvals built in.
Confirm whether the demo can run on a client's own system or sample data.
Serving businesses across the USA, Canada, Europe, and global markets.