AI Agent
Development Services
Cypherox builds AI agents that plan multi-step tasks, call tools and connect to your systems, completing defined work rather than only answering questions in a chat window.
When a Chat Interface Cannot Finish the Job
A chatbot that only answers questions still leaves someone to complete the actual task elsewhere. An AI agent goes further: it breaks a request into steps, calls the tools and systems needed to complete each one and reports back with a result rather than a suggestion. Without defined permissions and a clear point where a person steps in, an agent that can take action becomes a source of risk instead of leverage.
Supporting points:
Chat-only interfaces still leave the actual task to a person.
Multi-step tasks fail without planning and tool coordination.
Undefined permissions turn autonomy into operational risk.
No escalation path means errors compound before anyone notices.
Task Planning
Agents break a request into steps and execute them in sequence.
Tool Calling
Agents call APIs, databases and internal tools to complete real work.
Controlled Autonomy
Permissions define exactly what the agent can access and act on.
Human Escalation
Ambiguous or high-stakes decisions route to a person before the agent acts.
Agent Solutions Built
Around Real Workflows
Cypherox builds AI agents suited to the tasks they need to complete and the systems they need to reach, from single-purpose task agents to multi-agent workflows.
Task Automation Agents
Completes defined multi-step tasks such as data entry, report generation, or record updates across connected systems.
Have a Project in Mind ? →Tool Calling Agents
Connects to internal APIs and third-party tools so the agent can retrieve data and take action, not just respond.
Have a Project in Mind ? →Multi-Agent Workflows
Coordinates several specialized agents working together on different parts of a larger process.
Have a Project in Mind ? →Research and Retrieval Agents
Searches approved sources, extracts relevant information and compiles findings into a usable format.
Have a Project in Mind ? →Customer and Employee Facing Agents
Handles requests directly for customers or staff, escalating to a person when the task falls outside its scope.
Have a Project in Mind ? →Agent Orchestration and Monitoring
Adds the logging, evaluation and oversight layer needed to run agents safely in production.
Have a Project in Mind ? →Get Real Work Done
Without
Adding Headcount
An agent that can plan and execute tasks removes manual coordination work from people who currently do it by hand. Requests get completed rather than routed, staff spend less time on repetitive multi-step processes and the same agent architecture extends to new workflows as needs change.
Completes multi-step tasks instead of routing them to a person.
Reduces manual coordination across connected systems and tools.
Frees staff time for work that genuinely needs judgment.
Extends to new workflows without rebuilding the core architecture.
Talk Through Your AI Agent Requirements With an Engineer
Speak with someone who will ask about the tasks you want automated, the systems involved and where human oversight matters most, then outline a practical approach.
Book a CallHire Dedicated AI Agent Developers
Engineers deliver agent development projects across agent architecture, tool integration and evaluation, embedded in your delivery process rather than handed off as a one-time build.
Hardik
Retrieval Systems Engineer
Available NowBuilds the search and retrieval layer that connects the assistant to your documents, databases and approved sources.
Skills:
Krupa
LLM Solutions Engineer
Available NowConfigures the underlying language model to synthesise retrieved information into accurate, structured summaries.
Skills:
Akash
Backend Integration Engineer
Available NowConnects the assistant to internal document stores, knowledge bases and external source systems through APIs.
Skills:
AI Agents Built for Your Industry
The right agent depends on the tasks it needs to complete, the systems it must reach and how much autonomy is appropriate for each decision.
Financial Services
Agents support account servicing and routine operational tasks, while keeping transactions and sensitive changes behind authentication and human review.
- Automates routine account and servicing tasks.
- Restricts financial actions to verified, authenticated sessions.
- Routes complex or regulated decisions to a person.
Retail and Ecommerce
Agents handle order management, inventory checks and customer requests, resolving tasks directly against live systems.
- Updates order and inventory data without manual lookup.
- Processes routine requests within defined rules.
- Escalates disputes or exceptions to staff.
Professional Services
Agents manage scheduling, document preparation and status tracking, reducing repetitive coordination work for client-facing teams.
- Automates scheduling and document preparation tasks.
- Tracks case or project status across systems.
- Flags decisions needing judgment to the responsible person.
Enterprise Operations
Internal agents complete IT, HR and operational requests directly within existing systems rather than routing everything through a helpdesk.
- Executes internal requests within approved systems.
- Coordinates multi-step processes across departments.
- Escalates unresolved issues to the relevant team
How We Design, Build and Deploy
Your Agent
The process moves from understanding the tasks and systems involved through design, development, testing and deployment, with monitoring once the agent is live.
Discovery and Scoping
We review your data sources, existing systems and the tasks the agent needs to complete before any design work begins.
Design and Architecture
We define the agent workflow, tool integrations, decision logic and security boundaries the agent will operate within.
Development and Testing
The agent is built, connected to required systems and tested against real task scenarios before release.
Deployment and Monitoring
Once live, we track task completion, execution accuracy and failure patterns to guide ongoing adjustments.
The Technology Behind
Your Agent
We build AI agents using established language model providers, orchestration frameworks and integration tools suited to the systems already in place across your business.
What
Clients Say
AI Agent Development
Questions Answered
These are the questions we hear most often from teams evaluating an AI agent project, covering capability, control, integration and ongoing support.
A chatbot typically answers questions in conversation, while an agent plans and executes multi-step tasks, calling tools and systems to complete work rather than only describing how to do it.
This depends on the systems it connects to and the permissions it is given. Common tasks include data entry, scheduling, report generation and multi-step workflow execution, agreed during scoping.
Agents operate within explicitly scoped permissions and tool access, routing high-stakes or ambiguous decisions to a person rather than executing them automatically.
Yes, multi-agent workflows are used where a task benefits from several specialized agents handling different parts of a process, coordinated through a defined orchestration layer.
Tasks outside the agent's defined scope are escalated to a person, either through a live handoff or a logged follow-up, depending on the workflow.
Timelines depend on the number of systems to connect and how much task logic is required. Agents scoped to a small number of clear tasks are delivered faster than those spanning multiple systems.
We monitor task completion, escalation rates and failure patterns after launch, adjusting logic, permissions, or tool access based on what the monitoring shows.
Let's Scope Your
AI Agent
Project
If you are evaluating an AI agent project, the next step is a conversation about the tasks, systems and oversight you need. We will outline a realistic approach before anything is committed.