NEKSOR / SERVICES
AI agent development for business
An AI agent needs a clear task, reliable knowledge and permission to act. Start with one measurable workflow: answering questions, preparing a draft or helping an employee complete a task.
Discuss your AI agent01 / YOUR TASK
What we can help with
Customer assistant
Answer from approved material, clarify needs and hand complex enquiries to a person.
Employee copilot
Find information and prepare response or document drafts for professional review.
Agent with tools
Perform bounded actions in connected services with permission checks and confirmation where required.
What you receive
- Task boundaries, approved sources and human handover rules.
- Knowledge retrieval with access restrictions appropriate to your data.
- Agreed tools with confirmation for consequential actions.
- Evaluation conversations, quality checks and maintenance guidance.
How we work
- Choose the workflow, quality criteria and permitted data.
- Review source material, architecture and usage costs.
- Build a pilot with knowledge retrieval, dialogue, tools and controls.
- Test failures, unrelated questions and attempts to bypass rules; agree rollout.
02 / SCOPE & ESTIMATE
What determines the cost
Start with a single-workflow pilot: available knowledge, evaluation questions and quality criteria. Additional sources, tools and channels are estimated after the pilot is assessed.
Scope considerations
AI does not replace review of consequential decisions. Model usage, search, infrastructure and knowledge maintenance depend on architecture and traffic; these costs are separated from development.
What to bring to the conversation
Describe the recurring task, users and desired outcome. Identify knowledge sources and actions that need approval. An anonymised description is enough for the first discussion.
Discuss your taskBefore we start
How is an AI agent different from a chatbot?
A chatbot primarily handles conversations. An agent can also use permitted tools to retrieve information, draft documents or update records. Permissions and confirmation requirements are defined for each action.
Will answers use only our knowledge base?
For company-specific answers, we define approved sources and what to do when information is missing. We evaluate this with test questions; no model can be promised to be error-free.
How is customer information protected?
We agree data scope, processing location, access and retention before connecting a model. Secrets stay outside prompts. Any information sent to an external API requires an agreed processing boundary.
Can you connect a CRM and web search?
Yes, as separately scoped tools with limited permissions. Web content is treated as untrusted evidence. Data changes and outbound messages have their own confirmation rules.
What determines an AI agent development budget?
Workflows, knowledge quality, integrations, usage and evaluation requirements. Development is quoted separately from model usage, search, hosting and ongoing support.