AI automation that saves hours every week
We build AI chatbots, copilots and workflow automations into the tools your team already uses, then measure the result in tickets resolved, manual work removed and time saved.
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The gap between an AI demo and an AI system in production is where most projects die: hallucinations on real data, no evaluation, no guardrails, no owner. That gap is exactly what we specialise in closing.
We integrate large language models — Claude, GPT and open-source — with your data and your workflows. Retrieval over your actual docs, automations that act inside your CRM and helpdesk, and evaluation suites that prove the system works before your customers test it for you.
( Everything included, nothing vague )
What our ai integration & automation services include
AI opportunity audit
A two-week assessment of your workflows that ranks automation candidates by hours saved versus build cost — so you start where the ROI is.
Custom chatbots & copilots
Assistants trained on your docs, products and policies via retrieval (RAG) — grounded in your data, not guessing from the internet.
Workflow automation
AI steps inside the tools you already run — CRM enrichment, ticket triage, report drafting, data extraction from documents.
LLM API integration
Production integration of Claude, GPT or open-source models into your product, with streaming, caching and cost controls.
Evaluation & guardrails
Test suites, hallucination checks and escalation paths, so the system fails safely and improves measurably.
Team enablement
Documentation and training so your team can tune prompts and extend the system without calling us for every change.
( What it means for you )
- A working pilot in 2–4 weeks, not a 6-month roadmap
- Assistants grounded in your data via RAG
- Clear metrics: tickets deflected, hours saved
- Your data stays in your infrastructure
( Before you ask )
Frequently asked questions
Which AI model will you use for our project?
Whichever fits the job. We work with Claude, GPT and open-source models, and we benchmark them on your actual tasks during the pilot. Model choice is an engineering decision we revisit as the landscape shifts — not a loyalty program.
Is our company data safe in an AI integration?
Yes, when it's architected properly. Your data stays in your infrastructure, retrieval happens over your own stores, and we use API agreements where providers don't train on your inputs. For sensitive workloads we can deploy open-source models entirely inside your environment.
How long does an AI integration take?
We ship a working pilot on real data in 2–4 weeks, then harden it for production in another 4–8 depending on integrations and compliance. You'll know whether the system earns its keep within the first month — before the big investment, not after.
What does it cost to run an AI assistant after launch?
Usually less than people expect: most support copilots run on $200–$1,500 per month in model costs at small-to-mid scale. We design with caching, routing and model-size tiers to keep the bill proportional to the value, and you see the cost dashboard from day one.
( Pairs well with )
Stronger together.
App Design & Development
Mobile app design and development for iOS, Android and cross-platform launches with onboarding users understand fast.
02Website Design & Development
Custom website design and development for fast, SEO-ready sites that turn visitors into booked calls.
03Conversion Rate Optimization
Conversion rate optimization audits, testing and landing page fixes that turn more traffic into leads.
AI — let's talk.
In two weeks we map your workflows, rank automation opportunities by ROI and show what to build first, what to avoid and why.