grow
ai that fits your product, not the other way around.
we wire llms, agents, and smart features into the systems you already use, where they reduce real work, with guardrails, logging, and measurement so the feature stays useful in production.
ai is only valuable when it is tied to a concrete job: answer questions from your docs, draft replies, classify requests, extract data from forms, or help staff find the right record faster.
fossasoft does not sell “add chatgpt” as a strategy. we integrate models into your product, intranet, or operations tools with the context, permissions, and review steps your business needs.
we also plan for failure modes, wrong answers, cost spikes, prompt injection, and unclear ownership, so the feature can be trusted by the people who use it every day.
what we do
assistants inside your product or intranet
chat and help experiences grounded in your content and policies, with access controls so answers stay inside the right audience.
search, summarization, and knowledge retrieval
let staff or customers find answers across manuals, tickets, and documents instead of scrolling folders or pinging colleagues.
classification and extraction
turn unstructured email, forms, and documents into structured fields your crm or workflows can act on.
agent-style automations with approval
multi-step helpers that prepare actions, drafts, updates, tickets, while humans confirm anything that changes money, access, or customer communication.
production guardrails
logging, rate limits, cost controls, evaluation samples, and fallbacks when the model is unsure or unavailable.
how we work
- we start from a measurable job and a success metric, not from a vague wish to “use ai.”
- we ground models in your data and rules, and we test quality on real examples before rollout.
- we design review paths for high-risk outputs and keep a way to iterate prompts and data without rewriting everything.
- we document what the system can and cannot do so support and managers set the right expectations.
typical projects
- internal knowledge assistants for support or sales
- customer help inside an existing app or portal
- ticket triage and suggested replies
- document extraction into business systems
- content drafting tools with brand and policy constraints
what we deliver
- working integration in your chosen environment
- data/context sources and permission model
- evaluation notes and known limitations
- monitoring for usage, errors, and cost
- handoff for prompt/data updates over time
what you get
practical ai features that staff and customers trust, integrated, monitored, and tied to real outcomes.
less time hunting for information or rewriting the same replies, without handing the business over to an opaque chatbot.