Agents that can do useful work
Give an agent the right tools, context, permissions, and boundaries so it can research, reason, update systems, and complete well-defined tasks instead of only producing chat responses.
An AI automation agency for real business workflows.
AI automation consulting and development for teams with a manual workflow to improve. We build agents, copilots, and integrations around your existing tools, business data, and approval process.
Discuss your projectYOUR FIRST RELEASE
Start with one workflow.
Bring a repeatable task such as handling incoming requests, searching internal documents, or preparing records for review. We can scope a first release around that task, with an agreed definition of a useful result.
Map the process
Identify the inputs, systems, and people involved. Define the output, approval points, and a baseline such as handling time or correction rate before choosing an AI model.
Test the uncertain step
Use approved sample data to test retrieval, classification, or generation. Agree on examples that should pass and cases that should go to a person. Rule-based automation may be enough for some steps.
Connect with limits
Scope the required integrations and access permissions. Include review screens, failure handling, and logs so your team can check an action and stop or correct the workflow.
Define the handover
Agree on acceptance tests, operating instructions, and who maintains the system. The proposal should separate implementation costs from model usage, hosting, and any ongoing support.
For the first conversation, describe the task, its frequency, the tools involved, and who reviews the result. Share anonymized examples, not passwords or private customer records. Budget and timing depend on the agreed scope and available access.
Discuss a workflowOUTCOMES / NOT OUTPUT
What this service is built to change.
Automation with human control
Combine deterministic workflows with AI where judgment is valuable, then add review steps, audit trails, fallbacks, and escalation paths for the moments that still need a person.
Knowledge people can trust
Connect approved documents and business data to retrieval systems that cite their sources, respect access rules, and make important information easier to find and use.
WHAT WE DELIVER
A complete path from uncertainty to a working product.
- 01AI opportunity and workflow assessment
- 02Tool-using agents and copilots
- 03Retrieval-augmented generation and knowledge search
- 04Multi-step workflow automation
- 05Model and business-system integrations
- 06Evaluation suites, observability, and guardrails
- 07Human approval and exception-handling flows
WHERE IT FITS
Common problems we can solve together.
Operations
Route requests, prepare records, reconcile information, and coordinate repeatable work across the systems your team already uses.
Customer and team support
Create grounded assistants that find the right answer, draft a response, complete approved actions, and hand off cleanly when confidence is low.
AI-native products
Build new product experiences where search, generation, recommendations, and agentic actions are part of the core workflow rather than an add-on.
HOW ASYNC WORKS
Clarity before scale.
We identify the decisions an automation can make, the records it can access, and the actions that need your team's approval. A prototype tests the uncertain parts before a wider rollout. Production scope depends on those results, integration access, and the support the system will need.
Explore our delivery processOUR OWN WORK
Explore the software behind the service.
NitroDial
How Async built its own AI voice platform with agent configuration, campaign controls, live transcripts and prepaid credit accounting.
Read the project storyImproveSelf
A React Native app build with personal goal tracking, progress views, receipt-to-expense capture and an authenticated AI assistant.
Read the project storyImaginify / AIViral Labs
Imaginify and AIViral Labs are related versions of an AI video product, with image-to-video jobs, credit accounting, web checkout and a Shopify app.
Read the project storyQUESTIONS / ANSWERED
Before we start.
01What should we prepare for an AI automation consultation?
Choose one workflow and describe its current steps, frequency, software, and common exceptions. An anonymized input and an example of the desired output help us assess the scope. Do not send credentials or private customer data through the enquiry form.
02How much does an AI automation project cost?
We estimate the agreed scope rather than publish one price for every workflow. Integration access, data preparation, evaluation requirements, and approval controls affect the build. Model usage, hosting, and ongoing support should be budgeted separately from implementation. A price and timeline need a defined scope first.
03Can Async integrate an AI agent with our existing software?
Yes. We can connect agents and automations to existing APIs, databases, knowledge bases, and business tools. The exact integration plan depends on available access, data quality, and the actions the agent is allowed to perform.
04How do you make an AI agent reliable?
Reliability comes from a complete system: constrained tools, high-quality context, explicit permissions, automated evaluations, observability, safe fallbacks, and human review where the cost of an error is high.
05Do we need to replace our current workflow?
Usually not. We can improve one high-value step first, measure the result, and expand only when the automation is useful and safe. Existing processes and systems can often remain the source of truth.
06What AI automation services does Async provide?
Async designs and builds tool-using agents, copilots, retrieval systems, workflow automations, evaluations, integrations, approval paths, and production monitoring. The right scope starts with the business process and its risks rather than a predetermined model or platform.
YOUR MOVE
Have a real problem worth solving?
Bring the workflow, idea, or product. We’ll help turn it into a clear, buildable next step.
Start a project