Use-case discovery
We rank candidate use cases by value and feasibility and pick one with a measurable outcome.
Engineering
AI integration with a measurable business result
Sharp Minds integrates large language models and automation into existing products and operations. We start with the workflow that costs you the most hours, ship a working pilot in four to eight weeks and measure the result in hours saved, response time or conversion.
At a glance
- Typical first release
- 6-8 weeks
- Typical team
- 1 AI engineer, 1 full-stack developer, QA
- Kick-off
- Discovery week, scheduled at sign-off
- Delivered from
- Ferizaj, Kosovo · CET
- Ownership
- All code and IP assigned to you
What AI integration services does Sharp Minds provide?
We build customer and internal assistants on top of models from Anthropic, OpenAI and open-source providers, retrieval-augmented search over your documents and databases, document classification and extraction, and automations that connect AI to your CRM, help desk or ERP. Every project ships with evaluation, monitoring and cost controls.
What is included
LLM-powered assistants
Support, sales and internal knowledge assistants with guardrails, tool use and escalation to humans.
Retrieval over your data (RAG)
Search and question answering across documents, tickets, wikis and databases with citations.
Document processing
Classification and extraction from invoices, contracts, forms and emails into structured data.
Workflow automation
AI steps embedded into existing processes via APIs, queues and low-code connectors.
Evaluation & monitoring
Test sets, quality metrics, cost dashboards and human review loops.
What does the process look like?
A short discovery phase that fixes scope and price, then weekly increments you can see and test.
- 01Week 1
Discovery & data review
Define the success metric, review data sources and choose the model and hosting approach.
- 02Weeks 2-4
Pilot build
A working assistant or automation on real data with an evaluation set you can inspect.
- 03Weeks 5-7
Integrate & harden
Connect to your systems, add guardrails, monitoring and cost limits, run a controlled roll-out.
- 04Week 8+
Measure & expand
Report against the metric, then extend to the next use case.
How long does it take?
Typical durations and team sizes for common scopes. Discovery confirms the exact plan before we start.
| Scope | Duration | Team |
|---|---|---|
| Internal knowledge assistant over documents | 4-6 weeks | 1 AI engineer, 1 backend developer |
| Customer-facing assistant integrated with CRM/help desk | 6-8 weeks | 1 AI engineer, 1 full-stack developer, QA |
| Document processing pipeline with human review | 6-10 weeks | 1 AI engineer, 1 backend developer, 1 front-end developer |
What you get
- Hours of manual work removed from support, sales and back-office teams
- Faster answers for customers with sources they can trust
- AI features that differentiate your product
- Predictable model costs and full visibility into quality
Tools and stack we use
- Anthropic Claude
- OpenAI
- LangChain
- Vector databases (pgvector, Pinecone)
- Python
- Node.js
- FastAPI
- n8n
- Azure OpenAI
- AWS Bedrock
We choose the stack that fits your team and constraints. If you already have one, we work in it.
Questions about this service
01Is our data safe when using AI models?
We use enterprise API tiers that do not train on your data, host in the EU where required and keep sensitive data out of prompts through redaction and access controls. Where policy demands it we deploy open-source models in your own cloud.
02How do you prevent the assistant from making things up?
By grounding answers in your own content with retrieval, requiring citations, adding refusal rules for out-of-scope questions and measuring accuracy against a test set before and after every change.
03Do we need a data science team to maintain it?
No. Solutions are built with standard APIs and monitored with dashboards your existing developers can operate. We also offer a monthly retainer for evaluation and improvement.
04What does a pilot cost?
Pilots are fixed-price after the discovery week. Because scope is one use case with one metric, most pilots fit within a modest budget and pay back within months if the metric moves.
Related services
Custom Software Development
Business platforms, portals and internal tools built around how you actually work.
End-to-end development of bespoke platforms, ERP and CRM extensions, customer portals and internal tools, delivered in short releases with measurable business outcomes.
Explore serviceMVP & Rapid Product Development
From idea to a production-ready MVP in 6 to 10 weeks.
A cross-functional squad scopes, designs and ships your minimum viable product in weeks, with a working demo every single week.
Explore serviceCloud Architecture & DevOps
Infrastructure that deploys in minutes and scales without surprises.
Cloud architecture, infrastructure as code, CI/CD pipelines, observability and cost optimisation on AWS, Azure, Google Cloud and Hetzner.
Explore serviceContact
Ready to scope your project?
Tell us about your product, timeline and constraints. We reply within one business day with a proposed team, a delivery plan and a fixed price for the first release. AI Integration & Automation engagements start with a discovery week.