A headless AI agent has no chat window. A system event, a schedule or another application starts it.
OpenAI Select Partner · Architect-led · Human approval built in
Headless AI agents that do the work in the background.
We build AI agents that start from an event, a schedule, a webhook or an API call, work through your systems with the tools you allow, and hand results and approvals to the right person.
See an agent run
- 15+Years of team experience
- 20+Enterprise implementations
- 60 minFree Headless AI agents review, with a written plan
- 5.0/5Client satisfaction (CSAT)
Proven Success With
5.0/5 CSAT
New to a headless AI agent?
What is a headless AI agent?
It reads the request, calls the tools it is allowed to use, and writes its result to a record, a queue or a message.
People see it where they already work: an approval request, a drafted reply or a finished task with its reasoning logged.
Where you are starting from
Where does a headless agent project start?
A queue people work by hand
Emails, forms or tickets that someone reads, sorts and keys into a system.
First stepA set of real past cases and an agreed definition of a correct result.
A chatbot that should act on its own
An assistant that answers well, but every run still waits for someone to type.
First stepThe events that should start it, and the actions it may take without a prompt.
Scripts that call a model
Scheduled jobs or functions calling an LLM with no retries, logs or tests.
First stepTracing and a test set, then queues, retries and limits.
Workflows that need more judgment
Automations in n8n or similar with an AI step that now needs more tools.
First stepAn agent step with scoped tools, and approval where it commits.
What we do
What does headless AI agent development include?
Eight pieces of work that take an agent from an idea to a background service with an owner.
Use-case selection
01Background work with clear inputs, a clear output and an owner.
Trigger design
02Events, schedules, webhooks and API endpoints that start a run.
Agent build
03Instructions, tools and limits on the framework that fits.
Tools and MCP servers
04Narrow actions in your systems, shared through MCP.
Queues and retries
05Runs queued, retried and stopped safely on failure.
Human approval
06Approval requests in Slack, Teams, email or your app.
Evaluations
07Real cases graded before every release.
Monitoring and cost limits
08Traces, alerts and spending caps.
What starts it
What can trigger a headless AI agent?
Five ways a run begins. Most agents use two or three of them.
An event
A record created, a status changed or a file landed in storage.
A schedule
Nightly reviews, weekly reports and regular sweeps of a backlog.
A webhook
A form, a payment or a partner system posting to an endpoint.
An API call
Your own app asking the agent for a task and collecting the result.
A message
An email to a shared inbox or a message on a queue.
One run
How does an event-triggered agent run work?
One run, end to end. The step that commits waits for a person.
- Source system
- Queue
- Agent worker
- Tools via MCP
- Approver
- Source system to Queue: Publishes an event
- Queue to Agent worker: Delivers the job
- Agent worker to Tools via MCP: Calls allowed tools
- Tools via MCP to Agent worker: Returns the facts
- Agent worker to Approver: Requests approval with its reasoning
- Approver to Agent worker: Approves
- Agent worker to Tools via MCP: Writes the change
- Agent worker to Queue: Acknowledges the job
- Agent worker to Source system: Posts the result
Frameworks
Which frameworks do you build headless agents on?
We choose by your stack, your hosting rules and who will maintain the agent.
- Anthropic
Claude API
Tool use, structured outputs and batch requests for agents you code yourself.
- Anthropic
Claude Agent SDK
The agent harness behind Claude Code, for agents that work with files, commands and tools.
- OpenAI
OpenAI Agents SDK
Agents, handoffs, guardrails and tracing in Python or TypeScript.
- Open source
LangGraph
Stateful agent graphs with checkpoints and human interrupts.
- Workflow
n8n
Triggers, app connections and AI Agent steps in a visual editor.
- Tools
Model Context Protocol
One standard way to expose tools and data to any compliant agent.
- Runtime
Queues and workers
Amazon SQS, Google Cloud Pub/Sub, Azure Service Bus or Redis, with workers that scale.
- Quality
Evaluations and tracing
Test sets, graders and a trace of every model and tool call.
Guardrails
What keeps a background agent safe and affordable?
Controls that stop a problem before a run commits anything, and checks that catch what slips through.
- Preventive
Tool allowlist per agent
The agent calling an action nobody approved.
- Preventive
Human approval on committing steps
Money, data or customer promises changed without a person deciding.
- Preventive
Token and spend caps per run and per day
A loop or a flood of events running up model costs.
- Preventive
Idempotency keys on every write
A retried job creating the same record twice.
- Detective
Dead-letter queue with alerts
Failed jobs disappearing without anyone noticing.
- Detective
Evaluations on every change
A prompt or model update quietly lowering quality.
- Detective
Run traces and logs
No way to explain why the agent did what it did.
How it runs
How does a headless agent project run?
Four phases. Your written proposal sets the scope and milestones before anything starts.
- Phase 1
Choose
One job worth automating.
- Use case and owner
- Triggers and outputs defined
- Success criteria and test cases
- Phase 2
Build
Agent, tools and plumbing.
- Agent and tools
- Queue, retries and limits
- Approval steps
- Phase 3
Prove
Graded on real cases.
- Evaluation runs
- Shadow mode beside the current process
- Fixes and sign-off
- Phase 4
Run
Live with an owner.
- Gradual rollout
- Traces, alerts and spend reports
- Monthly tuning, if you want it
Cost and timing
What it costs and how long it takes
The review is free
A 60-minute architecture review of your AI agent setup, with a written plan you keep.
A fixed-scope proposal first
Before any work starts you get a written proposal: a fixed-scope project with milestones, or a monthly plan. You approve it, or you do not.
Timing follows scope
How long it takes depends on what is in scope. The proposal states the milestones, so you see the timeline before you commit.
Client stories
Client work we have delivered
Real engagements, described by industry. Each story covers the starting position, what we built and how we delivered it, end to end.
Communications, Media & TechnologyFour Production AI Systems for a Japanese Contact Centre OperatorCustom AI for a Japanese contact centre operator: recorded and live Japanese call transcription, 16-field emergency form extraction with human review, a bilingual knowledge base, and realtime operator assistance.Custom AI · Speech-to-text · Large language models · Vector searchRead the story 
Financial ServicesAI Deal Matching That Screens Companies Against Every Investor MandateSales Cloud, Agentforce, Data 360 and Prompt Builder for a US private equity advisory firm: mandates, AI first-pass ranking, deep scoring with rationale, and deals created from approved matches.Sales Cloud · Agentforce · Data 360 · Prompt BuilderRead the story 
Financial ServicesSelf-Hosted AI Research Infrastructure Behind a Salesforce Deal EngineSelf-hosted AI agent infrastructure for a US private equity advisory firm: n8n workflows, PostgreSQL, web research and Google Drive mandate documents, deployed with Coolify and writing results back to Salesforce.n8n · PostgreSQL · Coolify · FirecrawlRead the story Client reviews
What clients say about working with our architects
See how teams describe working with SynconAI, from first scope to production delivery.
Salesforce Select Partner30+ Salesforce certificationsDelivery from Delaware & Sydney, worldwide
Simply Outstanding
“SynconAI Consulting are Simply the Best in the Business When it comes to Salesforce implementation and AI-powered solutions, SynconAI are in a league of their own. Their expertise, dedication, and ability to deliver results that truly move the needle sets them apart from every other consulting partner we've worked with. What they achieved with our Sales Cloud, Service Cloud, and custom Agentforce agent has completely transformed how we operate streamlining our pipelines and our customer service, and automating tasks that used to consume hours of our team's time. They don't just implement technology they transform businesses. If you want the best, you work with their team.”
Sales CloudService CloudAgentforce
Jack BennettConsumer Goods & Retail · United States
“I had a very urgent deadline for our project reporting to be delivered and needed to build the module, dashboard and output reports in Salesforce. SynconAI were very responsive - they met with me online, responded to my emails quickly and took calls - whatever was needed to progress the work quickly. We are thrilled with the outcome and will continue to work with SynconAI in the future to continue to build our Salesforce capability and platform.”
Sales CloudService CloudNonprofit Cloud
Salesforce Managed ServicesAustraliaSalesforce Verified
“The team at SynconAI were fantastic, and promptly delivered on each project. They were able to guide us through every stage and made sure we were satisfied with the outcomes on multiple scopes of work.”
Sales CloudSlackFlowAgentforceMuleSoft
ManufacturingAustraliaSalesforce Verified
“They have been great and helping us transform out business by bringing what I conceptualize to life. Great at translating process/workflow needs into a solution. Been a pleasure work with and they're a critical part of our team and will be instrumental into bringing about my vision.”
Sales CloudFinancial Services CloudArchitectureAI
Financial ServicesUnited StatesSalesforce Verified
“Working with SynconAI was a seamless and highly professional experience from start to finish. They took the time to deeply understand our business processes before designing and implementing a Salesforce solution tailored specifically to our operational needs. The team demonstrated strong technical expertise across Salesforce configuration, automation, integrations, reporting, and user experience design.”
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Salesforce ImplementationSalesforce Verified
Frequently asked questions
Headless AI agents, answered.
Straight answers about triggers, frameworks, MCP, costs, failures and testing for agents that run in the background.
An AI agent that runs without a chat window. An event, schedule, webhook or API call starts it, it works in the background with the tools you allow, and people see results or approval requests.
A chatbot waits for someone to type. A headless agent starts when something happens, finishes the task, and involves a person only to approve or review.
The Claude API and Claude Agent SDK, the OpenAI Agents SDK, LangGraph and n8n. For Salesforce work we also build headless Agentforce agents. We choose by your stack and hosting rules.
The Model Context Protocol is an open standard for exposing tools and data to AI agents. We build MCP servers so several agents can share the same narrow, approved actions.
Each agent has caps on tokens and spend per run and per day, limits on steps and retries, and alerts when usage changes. Batch requests are used where results are not urgent.
The job is retried with backoff. Writes carry idempotency keys, so a retry cannot duplicate them. After the last retry the job moves to a dead-letter queue and an owner is alerted.
We replay real past cases and grade the results by code, by a model as judge and by a person. New agents usually run in shadow mode beside the current process before going live.
In your own cloud account, on serverless functions, containers or n8n, with model calls made through your own API keys and data retention settings.
Claude and Anthropic are trademarks of Anthropic, PBC. OpenAI is a trademark of OpenAI. Salesforce and Agentforce are trademarks of Salesforce, Inc. LangGraph, n8n, Amazon SQS, Google Cloud Pub/Sub, Azure Service Bus, Redis, Slack and Microsoft Teams are trademarks of their owners. SynconAI is an independent consulting firm; apart from its Salesforce and OpenAI partner status, it is not affiliated with or endorsed by these companies.
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