Journey 03 : for software companies
Your product works. Make it think.
Novistu engineers AI into the product you already have: copilots, semantic search, document understanding and agent features, built in your codebase with the evaluation, guardrails and cost controls that keep them dependable in production.
Six ways products get intelligent.
01
Copilots
Assistants inside your core workflow that draft, suggest and execute, scoped to each user's permissions.
02
Semantic search
Search that understands meaning across your content, with citations and access control.
03
Document understanding
Your users' documents parsed, extracted and structured inside the product.
04
Agent features
Multi-step autonomous actions (research, triage, updates) with supervision built in.
05
Generation features
Content, code or media generation tuned to your product's voice and quality bar.
06
Predictive features
Ranking, scoring and forecasting where a decision visibly improves.
The method
From feature flag to general availability.
- Scope
- Prototype
- Harden
- Ship
- Hand over
Focused scope, flag-gated prototype, hardened with evals and guardrails, shipped with dashboards, handed to your team
Evaluation, not vibes
Test sets from your real usage measure quality on every change. Regressions surface in staging.
Economics by design
Caching, model routing and per-feature cost tracking keep margins alive as usage grows.
Your team keeps it
Documentation, pairing and clean handover mean the capability stays in-house.
Before you ask.
The one your users ask for in support tickets and sales calls. Usually that is semantic search, a copilot for the core workflow, or document understanding. We help you choose in a scoping workshop, and we will argue against features where AI adds cost without felt value.
We work inside your repository and boundaries: your auth, your data models, your security review. Model providers are used under zero-retention terms, and open-weight self-hosting is available when data cannot leave your infrastructure.
Evaluation suites measure output quality before and after every change; dashboards track cost per feature and per user; caching and model routing keep unit economics sane. Both quality and cost are visible from the first week, not discovered on an invoice.
That is the default mode. We embed in your process, ship behind flags, document thoroughly and pair with your engineers so the capability stays in-house when we step back.
A focused feature typically ships behind a flag in two to four weeks and reaches general availability in four to six, depending on integration depth and your review cycles.
Add AI to my product.
Tell us what your users keep asking for. We will scope the feature that matters, the honest effort it takes, and how your team keeps it after we ship.
First call free : honest about fit : no obligation