Technology Solutions

AI Solutions

Assistants, document AI, and intelligent workflow automation.

Overview

Practical AI solutions for business — support and internal assistants, document extraction, classification, summarisation, and AI-assisted workflows — built with real evaluation and guardrails.

Business problem

The challenge

Most AI pilots produce a demo, not an outcome. They aren't grounded in company data, aren't measured, and don't survive a real workload — while the underlying model changes every few months.

Our solution

How Novalify solves it

We design AI solutions around a business outcome, ground them in your data, evaluate them properly, and build guardrails and human-in-the-loop where it matters — so the system holds up in production.

Business benefits

Value that compounds.

Business value, ROI, efficiency, automation, scalability, risk reduction, and long-term growth.

Real outcomes

Deflected tickets, extracted documents, faster workflows — measured.

Grounded in your data

Retrieval on your documents, not hallucinated answers.

Human-in-the-loop

Approval and audit steps where it matters.

Model-agnostic

Providers can be swapped without re-architecting.

Cost-controlled

Token budgets, caching, and routing designed in.

Compliant

PII handling, retention, and audit built in.

Who it is for

Built for teams like these.

  • Support-heavy businesses
  • Document-heavy operations (legal, insurance, finance)
  • Sales and marketing teams
  • Internal operations teams
  • SaaS products adding AI features
Deliverables

What you get.

01
Use-case discovery & prioritisation
02
Data & retrieval architecture
03
Prompt & tool design
04
Guardrails & evaluations
05
UI or workflow integration
06
Cost & performance monitoring
07
Human-review workflows
08
Documentation & handover
Workflow

How we work.

A predictable rhythm from first conversation to long-term support.

  1. Step 1
    Discovery
  2. Step 2
    Analysis
  3. Step 3
    Planning
  4. Step 4
    Proposal
  5. Step 5
    Implementation
  6. Step 6
    Testing
  7. Step 7
    Launch
  8. Step 8
    Support
Timeline

Typical engagement.

Weeks 1–2
Discovery

Use case, data, and success metric.

Weeks 3–5
Prototype

Working prototype with evaluation.

Weeks 6–10
Production

Guardrails, monitoring, rollout.

Technology

Tools and stack.

OpenAI, Anthropic, Google, open modelsVector search & retrievaln8n / workflow orchestrationEvaluation frameworksPII redactionObservability
FAQs

Common questions.

Which AI provider do you use?+

Model-neutral. We select per use case and design so providers can be swapped.

How do you handle sensitive data?+

PII redaction, private-inference options, and retention controls are designed in from the start.

Do you build AI features into existing products?+

Yes — one of the most common engagements.

What about hallucinations?+

We ground models in your data via retrieval, add validation, and use human-in-the-loop where accuracy matters.

Related services

Continue exploring.

Ready to move forward?

Request a proposal with scope and pricing, or book a 30-minute consultation to talk through your situation.