Answers buried in documents
Teams search through shared drives, manuals and past messages to find one reliable answer.
AI FOR EVERYDAY WORK
AI agents and workflows built for real business tasks.
Some work starts with a question, a document or a message that someone has to read before they can act. Rontech Agency builds AI workflows that find relevant information, organize the details and prepare useful next steps around your existing tools.
Start with one clear task. Keep your team in control of the decisions that matter.
WHERE TIME GOES
Too much information. Too much time spent finding answers.
Useful information exists somewhere in your business, but finding it takes time. Requests arrive in different formats, documents keep growing, and people often repeat the same research or drafting work.
Requests that need sorting
Someone has to read each message, identify what it needs and decide who should handle it.
Details copied out by hand
Call notes, transcripts and forms contain useful information that still has to be transferred into another system.
WHAT WE BUILD
Useful AI for the work your team already does.
We start with the task and the information needed to complete it. Then we choose the right combination of AI, rules, integrations and review steps.
01
AI knowledge assistants
Give your team a way to ask questions about approved company information and see where each answer comes from.
TYPICAL USES
- Search internal policies and procedures
- Find answers in manuals and product documentation
- Retrieve relevant guidance with links to the source
HOW IT WORKS
The assistant searches the information it is allowed to use, retrieves relevant passages and prepares an answer with source references. When the information is missing or unclear, the interface should say so rather than invent an answer.
02
AI customer support & operations
Help your team sort incoming requests, find context and prepare replies without giving up control of the conversation.
TYPICAL USES
- Classify incoming support requests
- Summarize a case for the next person
- Draft a suggested answer or route a request for review
HOW IT WORKS
A new request is classified using defined categories, matched with permitted information and turned into a suggested reply or next action. Your team reviews sensitive or uncertain cases before anything is sent or changed.
03
AI document & data processing
Turn long documents and unstructured notes into useful, structured information that your team can review and use.
TYPICAL USES
- Extract fields from forms and documents
- Summarize meetings and interviews
- Prepare structured CRM notes or candidate-review material
HOW IT WORKS
The workflow processes an approved source, extracts the required fields and checks its output against a defined structure. A person confirms important details before they are added to business records.
SEE HOW IT WORKS
A question in. An answer with sources out.
In a real knowledge-search workflow, a colleague asks about supplier onboarding and reviews an answer linked to the relevant source documents.
ANONYMIZED WORKSPACE
Real workflowQuestion received
Internal knowledge request
QUESTION
What approvals are needed before we onboard a new vendor?
Real workflow with anonymized source details. This preview does not run a live AI search.
Referenced documents
Anonymized source material from a real business workflow.
SUGGESTED ANSWER
The request needs review by the business owner, Procurement and the relevant compliance reviewers before the vendor record is activated. Check the referenced policies for the exact sequence and exceptions.
Referenced documents
REVIEW THE ORIGINALS
Check the cited passages and decide what happens next.
WHAT HAPPENS AT THIS STEP
01 / 04
Start with a business question
A colleague asks the internal assistant a question about the vendor onboarding process.
- INPUT
- Question about vendor onboarding approvals
- RESULT
- A clear question ready for source retrieval
- HUMAN ROLE
- The employee decides what to ask and can refine the question.
Answers depend on the quality and permissions of the source material. The assistant should make uncertainty visible and allow people to check the original documents.
EXPERIENCE IN PRACTICE
AI workflows grounded in actual business information.
Our work includes document search, call and interview processing, and workflows that prepare structured information for teams to review.
01 / DOCUMENT SEARCH
Knowledge search with citations
We have developed and tested a system that indexes selected documents and web content, retrieves relevant passages and returns source-linked answers. The work also includes handling gaps in the available material and collecting feedback to improve the knowledge base.
02 / SALES OPERATIONS
Sales conversations into structured notes
We have built and tested workflows that turn meeting material into summaries and structured CRM-ready information. The important part is checking extracted details before updates reach a business record.
03 / RECRUITMENT
Interview information for hiring teams
We've worked on processing interview transcripts into structured notes and review material, with integrations designed around recruitment records. The human hiring team remains responsible for interpretation and decisions.
These examples describe real workflows and systems, with sensitive details anonymized.
BUILT WITH CLEAR LIMITS
Your information, permissions and review steps come first.
AI output needs boundaries. We define which information a workflow can use, which actions it may take and when someone must approve a result.
Approved sources
Work from defined documents and business systems, with access limited where the chosen systems support it.
Visible references
Provide source links or document references for knowledge-based answers.
Review before important actions
Put people in control of sensitive replies, records and decisions.
Monitoring and improvement
Review failures, gaps and feedback, then improve the workflow as the information and business rules change.
We agree on data access, external providers, retention and operational safeguards before connecting production information.
WORKS WITH YOUR SYSTEMS
AI should fit the tools you already use.
Depending on the task, we work with n8n, supported AI models, document sources, CRM systems, email and business APIs. The workflow should fit your permissions, review process and existing tools rather than forcing a new platform on your team.
- n8n
- AI models
- Document sources
- CRM systems
- Business APIs
HOW WE WORK TOGETHER
One AI project or ongoing improvement. Your choice.
Choose a clearly scoped implementation with training, or ongoing care for a workflow that needs regular monitoring and improvement.
01 / FIXED-SCOPE PROJECT
Implementation + team training
Suitable when you want a clearly scoped solution and a practical handover.
We define the task, review the available data, build and test the workflow, document its limits and train your team to use and monitor it.
02 / ONGOING SUPPORT
Monthly maintenance & improvement
Suitable when the workflow needs ongoing care and iteration.
We monitor behavior, investigate failures, maintain integrations, update source material and improve prompts or rules as your business changes. Scope and response expectations are agreed in advance.
- 01Understand the task and sources
- 02Build and test with realistic cases
- 03Launch carefully, document and support
COMMON QUESTIONS
Questions about AI agents and workflows
LET'S TALK
Tell us what your team spends too much time reading or checking.
Share the documents, requests or processes involved and what a useful result would look like. We'll discuss a practical place to start.