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AI Integrations

Turn your product into a smarter, more helpful tool.

We integrate practical AI features—like smart search and automated assistants—directly into your existing web app to save time and improve user experience.

Who needs this service?

This service is for companies that want to move beyond the hype and add genuine utility to their software.

SaaS products wanting an in-app assistant to answer user questions instantly.
SMEs looking to automate repetitive text tasks like email drafting or data entry.
Tools needing better search functionality so users can actually find what they need.
Teams wanting to differentiate their product with modern, time-saving features.

Why add AI now?

Your users expect smarter tools. Manual workflows are becoming a competitive disadvantage.

Support Bottlenecks

Repetitive questions clog your queue. AI handles the basics, leading to fewer support tickets.

Hard-to-Find Data

Users get lost in tables or docs. Semantic search finds answers instantly, improving user satisfaction.

Manual Drudgery

Staff waste time on summaries and data entry. Automation clears the backlog and saves hours per week.

User Drop-off

Users stall when starting tasks. AI suggestions get them moving, improving activation rates.

What we build

We integrate powerful features using standard APIs, tailored to your specific use case.

Support Assistants

Chatbots that answer FAQs instantly based on your docs, reducing wait times.

Semantic Search

A search bar that understands intent, not just keywords, helping users find info faster.

Auto-Summarization

Turn long reports or threads into concise summaries to speed up decision making.

Smart Classifiers

Automatically tag and route emails or tickets to the right team to remove manual triage.

Content Generators

Help users draft emails or posts in your style, fixing 'blank page' block and improving engagement.

Real utility, not just magic tricks.

We don't sprinkle AI dust on your product for the sake of it. We start by identifying specific friction points in your user journey that LLMs are uniquely good at solving.

We build with standard, reliable models (like GPT-4 or Claude) and focus heavily on prompt engineering and UX design. A good AI feature needs clear guardrails so users trust the output.

Safety is a priority. We implement rate limits, content filters, and "human-in-the-loop" workflows to ensure your AI features are helpful, not hallucinatory.

Data & Privacy First
Secure

Zero Training on Your Data

We configure APIs so your confidential business data is never used to train public models.

Strict Access Control

The AI only sees what the current user is allowed to see. We mirror your existing permission levels.

Audit Logging

We set up full monitoring so you can see exactly how the AI is being used and spot issues early.

Integration Process

We typically show a working prototype in a few weeks.

01 Discover

We analyze your workflow to find high-impact opportunities for automation and define success metrics.

02 Prototype

We build a quick proof-of-concept to test if the AI actually solves the problem effectively.

03 Validate

We test with real users and refine the prompts and parameters to ensure high-quality results.

04 Integrate

We connect the AI securely to your production app and database, handling all the plumbing.

05 Monitor & Improve

We launch with tracking to catch edge cases, handling maintenance and prompt tuning over time.

Outcomes

Faster support replies and lower ticket volume.
Fewer hours spent on repetitive text work.
Users finding information faster without help.
Teams focusing on higher-value tasks.
Increased user engagement and satisfaction.
Scalable automation that grows with you.

AI Wins

SaaS Helpdesk

Docs Q&A Bot

Added a smart assistant trained on their documentation.

Reduced repetitive Level 1 tickets by ~30%.

Legal Tech

Case Summarizer

Automated the summarization of long case notes.

Cut average document drafting time by ~40%.

Recruiting

Smart Matcher

Built a semantic search engine for candidate profiles.

Significantly reduced manual screening time.

Common Questions

Do we need a huge dataset?

No. Modern LLMs are pre-trained. We just need your specific context (docs, rules) to guide them effectively.

Will AI replace our team?

No. It handles the boring, repetitive work so your team can focus on high-value tasks that require human judgment.

Can you integrate with our existing app?

Yes. We connect via standard APIs to your existing React/Node stack easily without rewriting your app.

How do you handle mistakes or hallucinations?

We design the UX to treat AI as a 'draft' or suggestion, keeping the user in control, and use strict prompt engineering.

Ready to add AI to your product?

Tell us about your product and one or two workflows you think AI could improve. We'll help you validate the idea.