New: Generative AI & AI agent development — build assistants grounded in your own knowledge. Learn more
AI & Data
Assistants and agents grounded in your knowledge
We build generative AI applications that are useful and safe: knowledge assistants grounded in your documents, agents that automate multi-step tasks with human oversight, and integrations that keep sensitive data protected.
Generative AI can summarise documents, answer questions, draft content and — with AI agents — complete multi-step tasks across your systems. The opportunity is real, but so are the risks: inaccurate answers, data exposure and unpredictable behaviour. We build generative AI solutions that are useful, grounded in your knowledge and safe to operate.
We start with a focused use case and a measurable outcome, then design the solution around your data and permissions. Retrieval respects who is allowed to see what. Agents receive least-privilege tools rather than broad system access, and treat external content as untrusted input. Before scaling, we evaluate with realistic test sets and pilot with real users, comparing results against a baseline.
In production, we monitor quality, cost and user feedback, and improve prompts, retrieval and tools as your content and processes change. Read our guide to AI agents for business for more on safe adoption.
This service suits organisations with large volumes of documents and knowledge, support teams handling repetitive questions, operations teams processing unstructured information, and leaders who want to move from AI experiments to reliable production solutions. Smaller businesses can explore our article on generative AI use cases for SMEs.
Success means people rely on the assistant because its answers are accurate, cited and appropriate to their role. Repetitive work shrinks, response times improve and experts spend more time on judgement. Usage, cost and quality are visible on a dashboard, and every agent action can be traced and reviewed.
We help you pick the right first use case, prove its value and scale responsibly. Talk to us about generative AI.
Challenges
Capabilities
Benefits
Delivery
Workshops to understand your goals, users, constraints and how success will be measured.
Architecture, scope, roadmap and UX prototypes agreed before development starts.
Short sprints with regular demos, code review and automated testing.
Hardened deployment, data migration, monitoring and team handover.
Maintenance, optimisation and new features as your needs grow.
Engineering perspectives
Practical generative AI use cases that smaller organisations can adopt today — from customer service to document processing — and how to start safely.
SA Softec Ai Editorial Team
ReadWhy grounding large language models in your own documents makes AI assistants more accurate, more useful and easier to govern.
SA Softec Ai Editorial Team
ReadAI agents can plan, use tools and complete multi-step tasks. Here is what they are, where they help, and how to adopt them safely in your business.
SA Softec Ai Editorial Team
ReadFAQ
An assistant answers questions and drafts content. An agent can also plan multi-step tasks and take actions through tools you control, such as creating tickets or updating records, with approval steps where needed.
We ground answers in your approved content with retrieval-augmented generation, require citations, evaluate quality with test sets, and add human review for consequential outputs.
We select providers and deployment options that meet your data requirements, enforce user permissions at retrieval time, minimise the data sent to models and log access for review.
While traditional chatbots only answer canned questions based on keywords, autonomous AI agents can reason, break down multi-step goals, query databases through APIs, browse information, and execute actions autonomously across business software without human intervention.
Enterprise AI agents utilize Retrieval-Augmented Generation (RAG) and isolated vector databases with end-to-end encryption. Data queries are processed inside private Virtual Private Clouds (VPC) without exposing proprietary business data to public model training sets.
Yes. We build secure API connectors and webhooks that allow AI agents to interact directly with your existing CRM, ERP, accounting software, and communication tools (Slack, Teams, WhatsApp), enabling automated record updates and workflow triggers.
Tell us what you are trying to achieve and we will suggest the right approach, team and next steps.
Softec Ai Solution
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