AI integration services that do real work inside your systems.
Our AI integration services add AI where it saves time or money: automatic document processing, workflows that run themselves, search over your own knowledge, and AI features inside software you already use.
Useful AI, not a demo.
Assistants & chatbots
Answer customer and staff questions from your own documents, policies and product data, and hand over to a person when needed.
Document processing
Read invoices, forms, contracts and emails, pull out the data, and put it where it belongs.
Workflow automation
Chain your tools together so routine tasks run on their own, with a person approving the steps that matter.
Search over your knowledge
Let your team ask questions in plain language across files, wikis and past tickets.
AI in your existing product
Add summaries, drafting, classification or recommendations to software you already run.
Not sure what you need?
Tell us the problem, not the spec. We'll tell you what to build, and what not to.
Where AI integration services actually pay off.
Most businesses do not need an AI strategy deck. They need one slow, repetitive task to get faster without getting less accurate. Our AI integration and automation services connect an AI model to the systems where that work already happens.
- AI document processing: pull fields from invoices, forms, contracts and emails, check them against your rules and write them into your accounting tool, CRM or database. Anything unsure goes to a person.
- Triage and routing: sort inboxes and queues by intent and urgency and route each item to the right person.
- Drafting: replies, quotes and summaries from your real data and templates, with a person in charge of what gets sent.
- Search over internal knowledge: plain-language answers across drives, wikis and past tickets, with the source shown.
- AI workflow automation: AI handles the steps that need reading or judgement, ordinary integration code the rest. For a customer-facing assistant, see AI chatbot development.
AI implementation, from one workflow to everyday use.
AI implementation fails most often when it starts too big. We start with one workflow, prove it works on your real data, and only then widen it.
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Discovery and data access
In week one we map the task, collect real examples and agree the narrowest access that does the job.
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A written plan
Within 72 hours: the approach, the data it needs, how accuracy will be measured and the monthly running cost.
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A pilot on one workflow
2-week sprints with a demo each time, tested against your own past cases.
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Human review by default
Anything that sends, pays or decides goes through a person until results have earned less review.
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Measurement
Time per item, error rate against your test cases, how often a person corrects the output, and running cost.
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Rollout and tuning
Once the pilot holds up, we roll it out and tune prompts, rules and models as real usage comes in.
Projects are quoted as a fixed price for an agreed scope or as a monthly team: see our pricing page. If the AI is part of a new product, read how much MVP development costs.
Your data, handled carefully.
We agree with you what data leaves your environment, where it goes and who sees the results, before anything is built.
Least access
Access only to the systems and fields the task needs, through accounts you own and can revoke.
Know what is sent
We document which data goes to a model provider, and strip or mask fields that do not need to be there.
Provider terms reviewed with you
Data handling and retention differ by provider and plan, so we choose a setup that matches your obligations.
In-house models when needed
Where data cannot leave your infrastructure, we can use open-source models hosted in your own environment.
Permissions carried through
Staff only see answers from documents they could already open.
A record of what happened
We can log the actions the AI takes, so you can see what it did and why.
The code, the prompts and the accounts the system runs on are yours, and we are happy to sign an NDA before you share details.
Custom AI integration or a ready-made product?
If an existing tool already does what you need, buying it is usually cheaper than building. And sometimes AI is not the answer.
AI is the wrong tool for
- Exact calculations that ordinary code does perfectly.
- Decisions with legal or financial consequences that nobody will review.
- Tasks with no examples of what a good result looks like.
- A broken process. Automating it only makes the mess faster; plain custom software can fix the process first.
One of our own AI products may fit
- HRMS, our live HR platform, already automates employee records, attendance and leave rules, and AI features are next on its roadmap.
- Omni Agent (coming soon): email, web chat and messaging in one inbox, with AI triage and drafted replies.
- QuoteOS (coming soon): enquiry to AI-drafted proposal, contract and invoice.
- AiQMS (coming soon): quality SOPs turned into tracked workflows and audit evidence.
Custom AI integration makes sense when
- The work depends on your own systems, data and rules.
- Off-the-shelf tools would force your team to change how it works.
Need a person handling tasks with AI tools alongside them? Our virtual assistant service may be a better starting point than a build.
The right model for each job.
We work with leading AI models through their business APIs, and with open-source models when your data has to stay in-house. The model is chosen for accuracy and cost on your task, not the headlines.
A delivery date you can hold us to.
Find the win
We look at where your team loses the most time, and pick the task where AI clearly pays off.
Plan
A written plan: the approach, the data it needs, how we will measure accuracy, and the cost to run it.
Build & test
Built against your real examples and tested for accuracy before anyone relies on it.
Roll out and tune
A careful rollout with a person checking results, then tuning as real usage comes in.
Every build is scoped and quoted.
No price list, because no two builds are the same. Tell us what you need and we'll send a written quote within one business day.
- You own the code and the accounts it runs on
- Happy to sign an NDA before you share details
- Headquarters in Florida, delivery team in Pakistan, overlap hours with your day