Custom AI Workflows & Development Services
We build AI agents, chatbots, document and image understanding, and workflow automations that plug into how your business already runs instead of asking you to change everything around it. For City Care Lab that meant a WhatsApp assistant that answers patients, checks report status in the lab system, and hands anything else to staff. Whether you need one standalone AI feature or a full automation platform, we scope the data and model work before we touch a line of integration code. That order matters more than people expect.
What's Included
- Custom chatbot and virtual assistant development
- Predictive analytics and reporting dashboards
- AI-powered recommendation engines
- Workflow and document automation
- Integration of AI features into your existing software, website, or mobile app
- Model evaluation, fine-tuning, and ongoing monitoring
- AI agents for WhatsApp and web chat, with handover to a real person
- Document and image understanding, like reading tests off a prescription photo
- LLM integrations (Claude, OpenAI) with guardrails, logging and cost limits
Where AI fits in
AI is part of what we build and how we build it. People still make the decisions and review the work.
In your product
- Agents that answer customers on WhatsApp or your site and pass the hard cases to staff
- Reading documents and photos: prescriptions, invoices, forms, IDs
- Automations that move data between your systems and send the right alerts
In how we build it
- We prototype against your real data in days, so you judge output before we integrate
- Every prompt and model choice is tested against a set of real examples, not a demo
- Guardrails, logging and spend limits are in place before anything reaches customers
Our Process
Discovery & Feasibility
We audit your data sources, existing systems, and the actual problem you're trying to solve. Then we tell you honestly whether AI is the right tool for it. Sometimes it isn't, and we'll say so.
Data & Model Strategy
We decide whether to use an existing LLM or API, fine-tune a model, or build a custom pipeline. That call comes down to your data volume, latency needs, and budget, not a default preference on our end.
Prototype
We build a working prototype against real data, or realistic sample data if that's what's available, so you can judge output quality before we integrate anything.
Integration & Testing
We wire the AI feature into your product with logging and guardrails in place. Failures should degrade gracefully. They shouldn't take down the experience.
Launch & Monitoring
We deploy with usage and accuracy monitoring already running, and we stay engaged to retrain or adjust as real-world usage turns up edge cases you couldn't have predicted upfront.
Technologies We Use
Deliverables
- A working AI feature integrated into your product
- Model evaluation and accuracy report
- Technical documentation for the integration
- A monitoring dashboard for ongoing performance
Timeline
A scoped AI feature, something like a chatbot or a recommendation engine, typically takes 4 to 8 weeks once we've locked the scope. A full predictive analytics platform with custom model training runs longer, usually 3 to 6 months. The range depends entirely on how ready your data is when we start.
Investment Ballpark
Starting at $3,000 for a single AI feature integration using existing models or APIs. Custom-trained models and multi-feature platforms start around $15,000. Treat these as investment ballparks rather than fixed quotes. Final pricing depends heavily on data readiness, system complexity, and scope, and that's precisely what the discovery phase is for. It's not a hurdle we make you clear. It's how we protect your budget before we commit to a number.
Frequently Asked Questions
Yes. We develop AI-based applications tailored to your business needs, whether that's an intelligent chatbot, a predictive analytics tool, a recommendation system, or automation software built around a specific workflow.
Yes, and this is actually most of what we do. We integrate chatbots, recommendation engines, and predictive analytics into existing software, websites, or mobile apps without forcing a full rebuild.
Not always. Some AI features work fine with existing third-party models and APIs. If your use case needs a custom-trained model, we'll assess your data during discovery and tell you plainly what's missing before we scope anything.
We ship with monitoring in place so we can watch accuracy and usage drift over time. Ongoing retraining and adjustment is part of post-launch support, not an extra you have to negotiate for later.
Ready to start your ai development project?
A short discovery call is where we lock scope and turn this ballpark into a real number. Tell us about your goals and we'll get back to you within one business day.
See This in Action
Real projects where we applied this exact service.
FindSparrow
FindSparrow connects students across the U.S. with local freelance gigs: babysitting, tutoring, gardening, pet care, the kind of work that used to travel by word of mouth only. We built the core platform ourselves, from onboarding to real-time job postings to secure messaging to a review system both sides actually check. Students earn on their own schedule now, and families get help they can vet before anyone shows up at the door.
City Care Lab
City Care Lab runs diagnostic centres across several cities in Punjab. We build the software the lab runs on, from the LIMS behind every report to the app patients book on and a WhatsApp assistant that hands off to staff when it should.
Tell us what you're
trying to build.
Share your idea and we'll come back with honest answers on scope, timeline, and budget. No pitch deck, no obligation.