01Agent strategy
We define the agent’s users, tasks, exclusions, response standards and escalation paths.
You receive: Agent role and behaviour brief
AI Agents
An AI agent with a clear job, approved knowledge, and defined limits
A useful agent needs more than a chat window. We define what it should answer or do, which sources and tools it may use, and how people take over when a request falls outside its scope.
- 5.0 on Google
- 450+ projects delivered
- Patna · Muzaffarpur · Gurugram
01 / Why it matters
A good agent knows what it should not do.
An AI agent can answer questions from approved information or carry out defined tasks using connected tools. That capability is only useful when its role, sources and permissions are clearly set.
We design agents around a specific job, test how they handle unclear or unsupported requests, and make sure a person can take over whenever a request falls outside the agent’s scope.
Sounds familiar?
These are the moments businesses usually call us.
- Your team answers the same questions again and again.
- Staff spend time searching for information spread across documents.
- Research or processing tasks follow the same steps every time.
- You want an assistant that can take actions, not only chat.
02 / What’s included
Everything an agent needs to do its job well.
Each area ends with a practical deliverable you keep. Your proposal confirms exactly which ones your project includes.
02Knowledge & retrieval
We organise approved sources so the agent answers from your information and says when it does not know.
You receive: Prepared knowledge sources
03Tool-using workflows
We connect agreed actions across CRM, email, support or scheduling, with confirmation rules and access limits.
You receive: Tool and permission map
04Conversation design
We design interactions that gather context, explain what happens next and hand over smoothly to a person.
You receive: Conversation and hand-off flows
05Evaluation & guardrails
We test expected questions, ambiguous requests, unsupported instructions and tool failures before release.
You receive: Evaluation scenarios and results
06Deployment & operation
We set up monitoring, knowledge updates, cost controls and a process for changing the agent’s responsibilities.
You receive: Operating guidance
03 / Process
Four clear stages. You approve every one.
The agent’s role and limits are agreed before it is built, and it is tested before anyone relies on it.
- 01
Use-case design
We prioritise valuable tasks and define the agent’s role, inputs, actions, limits and escalation owners.
Your input: Agent use cases, sample questions and named escalation owners.
- 02
Knowledge & tools
We prepare approved sources and implement the agreed retrieval or tool connections with appropriate access limits.
Your input: Approved knowledge and system access requirements.
- 03
Build & evaluate
We test the agent against real scenarios, edge cases, tool failures and hand-off to your team.
Your input: Review of test results and sign-off before release.
- 04
Deploy & learn
We release to the agreed users, monitor conversations and actions, and refine behaviour from feedback.
Your input: Feedback from users and the escalation owner.
04 / Our work
What clients say about working with us.
What clients say
5.0 on Google reviews“DCampaign Digital is very experienced and expert team. They provide various strategy and latest trend for my business.”
“DCampaign Digital offers great services with unique designs with strategy that making them standout from their competitors.”
“Very experienced team in digital marketing, I had taken multiple services from them and I'm completely satisfied with their services.”
05 / Ways to work
Start where your business is today.
Each option is scoped to your goals and quoted in writing after a free consultation.
Agent Scoping
Teams exploring whether an agent suits a task before committing to a build.
- Use-case workshop
- Role and limits brief
- Knowledge and data review
- Feasibility recommendation
Knowledge Agent
Businesses that need reliable answers from approved information, for customers or staff.
- Agent role and behaviour brief
- Knowledge preparation and retrieval
- Evaluation and escalation testing
- Deployment and monitoring
Action-Taking Agent
Teams ready for an agent that completes defined tasks across connected tools.
- Tool and permission design
- Confirmation and approval rules
- Failure and hand-off testing
- Ongoing evaluation and updates
06 / FAQ
AI agent questions, answered.
Understand the engagement before you commit to a project.
Have a different question?
How is an agent different from a basic chatbot?
An agent may retrieve information or use tools for defined tasks. That added capability also requires permissions, evaluation, and clear operating boundaries.
Can the agent access our private documents?
Only authorised sources and permissions should be connected. We agree data handling and access requirements before integrating them.
Can an agent work without supervision?
Some bounded tasks may be automated, but review and escalation depend on risk. We do not assume unrestricted autonomy.
What happens when the agent does not know an answer?
It should say so and pass the request to a person rather than guess. We test unknown and unsupported requests before release.
How long does it take to build an agent?
It depends on the agent’s role, how much knowledge needs preparing and which tools it connects to. We agree scope and milestones before the build starts.
How much does an AI agent cost?
Cost depends on the agent’s scope, integrations and support needs. Model and platform usage is listed separately in a written, itemised proposal.
Free consultation
Let’s talk about the job for your agent.
Share the work you want an agent to handle. There is no obligation to continue after the call.
What happens next
- 01We read your message and review the use case.
- 02We arrange a short call to understand tasks, data and limits.
- 03You receive a written proposal with scope and fee.