Agent Data Handling
Tactas agents classify, retrieve, summarize, cite, and package company data so repeated tasks have the right context at the right time.
Source routing
Retrieval patterns
Cited context
Task-ready summaries
Data Readiness
Prepare company data for reliable AI agents.
TactasAI helps make company knowledge, business records, specialized sources, and large data sets usable for agent work: retrieval, reasoning, citations, summaries, and controlled actions.
Data readiness map
Expert Data Preparation
For specialized, messy, sensitive, or high-volume data, researchers and data specialists prepare the structure, labels, examples, and review rules before agents use it.
Large data sets
Domain-specific sources
Messy documents
Human review sets
What gets prepared
Agent-ready data is more than storage.
The goal is not only to connect documents. The goal is to make the right data findable, trusted, permission-aware, and useful inside each agent task.
Documents and PDFs
Policies, guides, contracts, reports, SOPs, and internal notes.
Business records
CRM records, account data, project status, ticket history, and operational tables.
Specialized data
Industry-specific source material, research sets, technical archives, and edge-case examples.
High-volume inputs
Large collections that need grouping, sampling, metadata, evaluation, and review.
Readiness flow
From raw company data to agent-ready context.
01
Inventory
Identify what sources matter for the first agent workflow and where the gaps are.
02
Prepare
Clean, group, label, index, and structure data so agents can use it with less ambiguity.
03
Evaluate
Test retrieval, citations, summaries, and edge cases against real business questions.
04
Operate
Refresh sources, monitor weak answers, and improve the data layer as work changes.
Data review
Show us the data your first agent needs to understand.
We will help identify what can be handled by the agent layer and what needs expert preparation first.