Models
Language models selected for reasoning quality, speed, cost, and where your data may be processed.
AI Agent Development
Accountable AI agents that work inside your business systems
Cypherox provides AI agent development services for companies that want software to finish multi-step tasks, not just suggest them. Every agent works with scoped tool access, human approval where the stakes are high, and a full log of what it did.
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Explore modular AI architectures tailored to your business:
Trusted by teams putting AI agents into operation
What Cypherox Offers
Custom AI agent development for the work your teams repeat
We design agents around one clear job, the systems they may touch, and the points where a person decides. As an AI agent development company, we build four types of agents.
Operations Agents
Agents that take on repetitive back-office tasks such as document intake, reconciliation, and report assembly, and hand off anything unusual.
- Multi-step task planning
- Approval gates for sensitive steps
- Retries and failure alerts
Customer Service Agents
Agents that resolve customer requests by acting in your systems, such as updating an order or opening a ticket, not just replying.
- Defined action limits
- Handover to human staff
- Context across conversations
Multi-Agent Systems
Several specialized agents that split a larger workflow into roles, pass work between each other, and report to a supervising agent.
- Clear role separation
- Structured hand-offs between agents
- Supervisor review of outputs
Agent Integration
Connecting agents to your ERP, CRM, ticketing, and data systems through APIs, with credentials limited to what each task needs.
- API and tool calling
- Scoped access credentials
- Sandbox testing before launch
Back-Office Operations Agents
Custom AI Agent Development for Back-Office Operations
Many operational tasks follow a pattern but still need several systems and a few judgment calls. We build agents that plan these steps, use the tools they are allowed to use, and pause for approval when a step carries financial or legal weight. Anything outside the agent's rules goes to a person with full context.
- Document Intake: Reads invoices, forms, and emails, then files the extracted data correctly.
- Reconciliation Tasks: Matches records across systems and flags mismatches for a reviewer.
- Report Assembly: Gathers figures from approved sources and drafts recurring reports for sign-off.
- Step Planning: Breaks a task into ordered steps and tracks each one's status.
- Approval Gates: Holds payments, deletions, and external messages until a person approves them.
- Failure Handling: Retries failed steps, then alerts your team with the reason and history.
Customer Service Agents
AI Agents That Resolve Customer Requests, Not Just Answer
A chatbot answers questions. An agent can also act, for example by changing a delivery address, issuing a credit within a set limit, or booking a callback. As an AI agent development company, we define exactly which actions each agent may take and when it must hand over to your staff.
- Order Changes: Updates delivery details or quantities in your order system within set rules.
- Ticket Creation: Opens and categorizes support tickets with the conversation attached.
- Action Limits: Caps refunds, credits, and changes at levels your team defines.
- Human Handover: Transfers complex or sensitive cases to staff with a full summary.
- Conversation Memory: Keeps context across messages so customers do not repeat themselves.
- Clear AI Disclosure: Tells customers they are talking to an AI agent.
Multi-Agent Systems
Multi-Agent Systems Development for Complex Workflows
Some workflows are too broad for one agent to handle reliably. In agentic AI development, we split the work between specialized agents, such as one that gathers information, one that drafts, and one that checks, with a supervising agent coordinating the sequence. Each agent has its own permissions, so a fault in one role is easier to contain.
- Role-Based Agents: Each agent handles one defined responsibility with its own tools.
- Supervisor Agent: Assigns work, checks outputs, and decides when the task is complete.
- Structured Hand-Offs: Passes work between agents in defined formats to reduce misunderstandings.
- Shared Task State: Keeps one record of progress that every agent reads and updates.
- Contained Permissions: Limits each agent to the systems its role actually requires.
- Traceable Decisions: Records which agent did what, and why, for later review.
Agent Integration
AI Agent Integration with the Systems You Already Run
An agent is only as useful as the systems it can reach. We connect agents to ERP, CRM, ticketing, and data platforms through APIs and tool calling, using credentials limited to each task. Every integration is tested in a sandbox before the agent touches live data.
- Tool Calling: Let agents call approved functions with validated inputs and outputs.
- ERP and CRM Access: Reads and writes records only through permitted API endpoints.
- Scoped Credentials: Gives each agent the minimum access its task requires.
- Rate and Cost Limits: Caps how often agents call systems and models within set periods.
- Sandbox Testing: Runs agents against test data before any live connection is opened.
- Pause Controls: Let your team pause an agent and review its recent actions.
Agent Governance
Every agent action is permitted, approved, and recorded
Autonomy without limits is a liability. These four controls are part of how we design every agent, including agents that must meet GDPR requirements for personal data.
- Permission-Scoped Tools: Each agent can only call the tools and data its task needs, and nothing beyond that scope.
- Human Approval Points: High-impact actions such as payments, deletions, or customer commitments wait for a named person to approve them.
- Action Audit Trail: Every tool call, input, and result is logged, so your team can trace what an agent did and why.
- Pre-Release Evaluation: Agents are tested against realistic scenarios, including edge cases and misuse attempts, before they reach live systems.
How Cypherox Deliver Agents
How we take an AI agent from idea to operation
The hardest part of an agent project is deciding what the agent may do. We settle that first, then build, test, and release in controlled steps.
Use-Case and Authority Mapping
We pick one process, document its steps, and agree which actions the agent may take alone and which need approval.
Tool and Data Access Design
We define the APIs, data sources, and credentials the agent needs, keeping access to the minimum the task requires.
Build and Evaluation
We build the agent and test it against real examples from your process until its results meet the acceptance criteria we agreed with you.
Controlled Rollout
The agent goes live on a limited share of work, with a person approving its actions until it meets the agreed standard.
Monitoring and Refinement
We track completed tasks, escalations, and errors, and adjust prompts, tools, or permissions as your process and systems change.
Agent Technology
The models, frameworks, and tools behind our agents
We choose models and frameworks per project based on task complexity, data location, and cost. Each layer below is chosen during the access design stage.
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Agent Frameworks
Orchestration libraries that manage planning, memory, tool use, and coordination between agents.
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Integrations
API connectors and tool definitions that link agents to your business systems.
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Evaluation and Observability
Testing and tracing tools that record agent behavior before and after release.
Agent Technology
The models, frameworks, and tools behind our agents
We select models and frameworks per project based on task complexity, data location, and cost, then connect them to your systems through controlled, auditable integrations.
Foundation Models
- • OpenAI GPT Models
- • Anthropic Claude
- • Google Gemini
- • Meta Llama
- • Mistral Models
Agent Frameworks
- • LangGraph
- • CrewAI
- • OpenAI Agents SDK
- • LlamaIndex Agents
- • Semantic Kernel
Integration and Tool Use
- • Model Context Protocol (MCP)
- • REST and GraphQL APIs
- • Webhooks and Message Queues
- • OAuth 2.0 Scoped Access
- • Sandbox Test Environments
Evaluation and Observability
- • LangSmith
- • Langfuse
- • Arize Phoenix
- • OpenTelemetry Tracing
- • Promptfoo Evaluations
Measured results from AI agents in operation
70%+
Routine tasks completed end to end without manual rework
5x
Reduction in manual handling time across automated processes
100%
Agent actions logged and traceable for audit review
8 weeks
Average time from approved scope to a production agent
What clients say about working with our agent team
Feedback from operations, support, and product teams on what changed after they handed real, recurring work to agents built by Cypherox, in their own words.
"Hi, my name is Gabrielle, and I'd like to share my experience working with Cypherox Technologies on one of the mobile apps and websites I built with them. The team members at Cypherox Technologies were attentive, diligent, communicative and very, very bright. I had an amazing experience working with them and I highly recommend."
"I'm Britney and I'm the head of conversion optimization for Acadia, a digital marketing agency. I've had the pleasure of working with the Cypherox team for over two, going on three years now. They're fast, hardworking and really diligent developers. They're really reliable, skilled developers and have been a great partner and a pleasure to work with."
"Hey I'm Brian and I recently worked with Cypherox Technologies who developed an e-commerce platform. For me, working with Cypherox Technologies was truly an excellent experience. I recently collaborated with them to design and develop the custom e-commerce platform from the Groundhog and their expertise was evident from day one."
"Hi, I'm Becke. I've had the pleasure of working with Cypherox Technologies on a recent web development project. It was a custom, heavy CRM and the experience was seamless from start to finish. The product was delivered on time and he went the extra mile to ensure everything was done so that we understood the process. It was just, it was brilliant. It was really, really good service. So yeah, absolutely brilliant; I'd recommend it. Thank you so much. Thank you."
"I would highly recommend working with Cypherox Technologies if you need a custom CRM platform. They always exceed their clients' expectations at every stage of the project. Their team designs and builds fully customized ecommerce platforms from the ground up, approaching every project with remarkable skill and dedication."
"Hi, my name is Gabrielle, and I'd like to share my experience working with Cypherox Technologies on one of the mobile apps and websites I built with them. The team members at Cypherox Technologies were attentive, diligent, communicative and very, very bright. I had an amazing experience working with them and I highly recommend."
"I'm Britney and I'm the head of conversion optimization for Acadia, a digital marketing agency. I've had the pleasure of working with the Cypherox team for over two, going on three years now. They're fast, hardworking and really diligent developers. They're really reliable, skilled developers and have been a great partner and a pleasure to work with."
"Hey I'm Brian and I recently worked with Cypherox Technologies who developed an e-commerce platform. For me, working with Cypherox Technologies was truly an excellent experience. I recently collaborated with them to design and develop the custom e-commerce platform from the Groundhog and their expertise was evident from day one."
"Hi, I'm Becke. I've had the pleasure of working with Cypherox Technologies on a recent web development project. It was a custom, heavy CRM and the experience was seamless from start to finish. The product was delivered on time and he went the extra mile to ensure everything was done so that we understood the process. It was just, it was brilliant. It was really, really good service. So yeah, absolutely brilliant; I'd recommend it. Thank you so much. Thank you."
"I would highly recommend working with Cypherox Technologies if you need a custom CRM platform. They always exceed their clients' expectations at every stage of the project. Their team designs and builds fully customized ecommerce platforms from the ground up, approaching every project with remarkable skill and dedication."
Frequently Asked Questions
Straight answers to the questions CTOs and operations leaders raise before commissioning AI agent development services, from permissions and data location to testing and cost.
Have a process in mind?
Tell us which task an agent should handle, and we will check whether an agent fits. Still choosing between use cases? Start with AI strategy consulting.
Discuss Your Process
What is the difference between an AI agent, a chatbot, and RPA?
A chatbot answers questions from approved content, while RPA follows fixed steps in existing software. An AI agent works toward a goal, decides its next step, and acts in your systems within set permissions. For answer-only needs, see AI chatbot development; for fixed rules, see business process automation.
Which business systems can your AI agents work with?
Agents can work with systems that offer an API or another controlled access route, such as ERP, CRM, helpdesk, document storage, and internal databases. We confirm the access method for each system during the tool and data access design stage.
How do you control which actions an AI agent can take?
Each agent receives a written list of permitted actions and credentials limited to those actions. Actions with financial, legal, or customer impact wait for human approval. You can tighten or loosen these limits as the agent's track record builds.
Can we see what an AI agent did and why?
Yes. Every tool call, its inputs, its result, and the agent's stated reasoning are logged. Your team can review any task step by step, which supports internal audits and incident reviews and helps us refine the agent over time.
Where are the models and our data hosted?
Hosting is decided per project. Options can include model providers' EU regions or self-hosted models in your own cloud, depending on your data protection requirements under GDPR. We confirm the hosting setup before any personal or confidential data is connected.
Does the EU AI Act affect our AI agent project?
It can, depending on what the agent does. Agents used in areas such as recruitment or employee monitoring may fall into the high-risk category, and customer-facing agents carry transparency duties. We map these points technically during scoping; your legal team confirms the classification.
How do you test an AI agent before it goes live?
We test agents against real examples from your process, including unusual cases and attempts to misuse them, in a sandbox with test data. The agent then handles a limited share of live work with human approval until it meets the criteria we agreed with you.
How much do AI agent development services cost?
Cost depends on the number of steps in the process, how many systems the agent must connect to, the approval and logging requirements, and hosting choices. We provide a scoped estimate after mapping the process with you.
Start With One Process
Let's scope your first AI agent
Bring one process your team repeats every week. In a first conversation, we will look at its steps, the systems involved, and where an agent could safely take over.
- Map one process and its decision points
- Review system access and data requirements
- Receive a scoped proposal with approval design