Workflow automation
Agents that carry repetitive multi-step workflows across your systems, executing the same way every time, so daily operations stop depending on someone remembering to do them.
Agent as a Service
Agent as a Service: An AI Workforce for Your Operations
Grow throughput without growing headcount. We build and operate AI agents that take over the repetitive work running through your business every day, and we run agents inside our own operations too.
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Agent as a Service
Where our agents earn their keep
An agent is only useful where it removes real work. These are the workloads we deploy them against most.
Business operations
Coordination work between tools and departments, handled automatically: status updates, handoffs, approvals routed, and delays flagged before they become missed deadlines.
Customer support automation
Agents that resolve common questions instantly on every channel, keep answers consistent, and escalate to a person with full context when a conversation genuinely needs one.
Sales and lead handling
Qualification, follow-ups, and nurture sequences executed on time, every time, so your salespeople spend their hours on conversations that can actually close.
CRM upkeep
Records updated, interactions logged, and duplicates cleaned automatically. Your CRM finally reflects reality without anyone doing data entry at the end of the day.
Data processing and reporting
Agents that collect data from your systems, structure it, and deliver the reports your decisions depend on, on schedule and without a human assembling spreadsheets.
Ready to put agents on the payroll?
Tell us which workflow eats the most hours. We will scope an agent for it with a fixed USD quote and a clear go-live plan.
Start a ProjectHow it works
How an agent goes from idea to on the job
- 01
Discovery and scoping
We map your workflows and pick the targets where an agent removes the most manual work, then write the scope down.
- 02
Agent design
Logic, decision boundaries, integrations, and escalation rules are designed on paper before any code exists.
- 03
Build and train
The agent is built against your real tools and data, with guardrails that keep it inside the job it was given.
- 04
Test against reality
We run the agent through real scenarios and edge cases until its behavior is predictable, not just impressive.
- 05
Deploy and integrate
The agent goes live inside your existing systems with no disruption, plus documentation your team can actually use.
- 06
Monitor and improve
We watch performance in production, fix drift, and keep tuning the agent as your business changes around it.
Why AIoptimix
Why businesses run agents through AIoptimix
We operate agents ourselves
Agents run inside AIoptimix's own operations and our own SaaS products, so we know the failure modes from the operator's side, not just the builder's.
Reliability over theatrics
An agent that works 95% of the time creates cleanup work. We design for the boring goal: consistent, auditable execution you can stop checking up on.
Fits your existing stack
Agents connect to the CRM, helpdesk, and internal tools you already run. Nothing gets ripped out to make the automation possible.
Scales without complexity
More volume means the agent handles more, not that you hire more. Capacity grows with demand while the operating model stays simple.
Tools and stack
The stack behind our agents
Open frameworks and mainstream cloud, chosen per project so you are never locked to a vendor.
Agent frameworks and orchestration
- LangChain
- LangGraph
- LlamaIndex
- CrewAI
- Python
- TypeScript
Models and serving
- Frontier model APIs
- Llama
- Mistral
- vLLM
- Hugging Face
Data and infrastructure
- PostgreSQL
- pgvector
- Redis
- Docker
- AWS
- Google Cloud
Engagement models
Pick the model that fits.
Staff Augmentation
Vetted engineers who join your team, work your hours, and follow your workflow.
Learn more →Dedicated Teams
A complete unit with delivery management that owns your product end to end.
Learn more →Fixed Price
A written scope, a fixed USD quote, and a committed timeline before we start.
Learn more →FAQ
Frequently asked questions.
What is Agent as a Service?
It is an engagement where we build, deploy, and operate AI agents that carry defined business tasks for you: answering support queries, updating records, running follow-ups, producing reports. You get the outcome of automation without building or babysitting the system yourself.
How is this different from traditional automation?
Rule-based automation breaks the moment reality steps outside its rules. Agents interpret context, handle variation, and decide the next step toward a goal, so they can run messy real-world workflows that scripted automation was never able to hold.
Can agents work with our existing tools?
Yes. Agents connect to CRMs, helpdesks, ERPs, communication platforms, and internal APIs, and work within those systems rather than around them. Implementation does not require replacing anything in your current stack.
Is it safe to let an agent act on its own?
Agents run inside explicit boundaries: scoped permissions, defined escalation rules, and logged actions you can audit. High-stakes decisions can be gated behind human approval. You keep visibility and control while the routine execution happens without you.
Do agents need constant supervision?
No. Once live, an agent runs independently within its guardrails while we monitor its performance in the background. Your team reviews outcomes and exceptions rather than doing the work, which is the entire point.
Related
Keep exploring.
Agentic AI
Multi-agent systems for work too complex for a single agent to carry alone.
Learn more →Chatbot Development
Customer-facing chatbots that resolve queries across your site and channels.
Learn more →AI Product Development
Full AI products built end to end, from architecture to launch.
Learn more →Put your first agent to work
Describe the workflow that wastes the most human hours. We will tell you honestly whether an agent can take it.
Start a Project