Custom AI Engineering Services
Custom AI solutions that automate work and create competitive advantages — from RAG systems to production-grade assistants.
Ascii-Core provides AI engineering services from Casablanca, Morocco, helping organisations across Europe, North Africa and the GCC automate operations and build intelligent systems that deliver measurable ROI.
Key Takeaways
- AI engineering is the practice of building production-ready systems that use large language models, retrieval-augmented generation and agentic workflows to automate knowledge work and business operations.
- Core components include LLM APIs, vector databases, embedding pipelines and orchestration frameworks such as LangGraph and MCP.
- Custom AI systems connect to existing CRMs, ERPs, helpdesks and databases through APIs — no replacement of current software is required.
- RAG grounds AI outputs in company-specific knowledge, making responses accurate and auditable rather than generic.
- Ascii-Core delivers AI engineering from Casablanca to organisations across Morocco, Europe and the GCC.
What is AI Engineering?
AI engineering is the discipline of designing, building and operating AI-powered systems in production. It combines large language model integration, retrieval-augmented generation, agentic workflows and software engineering to deliver intelligent systems that automate operations, improve decision-making and create measurable competitive advantages.
Ascii-Core provides AI engineering services from Casablanca, Morocco, helping organisations across Europe, North Africa and the GCC build custom AI solutions — from internal AI assistants and knowledge bases to document AI and multi-agent systems.
What holds companies back
We've seen these challenges across dozens of engagements. They're fixable.
- Manual operations that eat hours every week
- Slow, inconsistent customer support
- Disconnected systems and data silos
- High operational costs that scale with headcount
What we build
Production-grade ai engineering solutions designed around your specific context.
Custom LLMs
Fine-tuned and prompt-engineered models tailored to your domain.
RAG Systems
Retrieval-augmented generation grounded in your own knowledge.
AI Assistants
Production assistants that take real action across your tools.
AI Search
Semantic search that understands intent, not just keywords.
Knowledge Bases
Living, queryable knowledge from your scattered documents.
Use cases and outcomes
Real scenarios where we've delivered measurable results.
Internal Knowledge Assistant
A RAG-powered assistant that answers employee questions from internal documents, SOPs and wikis in seconds.
Document AI for Financial Services
Automated extraction and classification of contracts, invoices and compliance documents at scale.
AI Support Agent
An LLM-powered agent that resolves customer queries end-to-end, escalating only when necessary.
Healthcare Appointment Intelligence
AI system that predicts no-shows, sends personalised reminders and auto-reschedules appointments.
Semantic Product Search
Replaces keyword search with intent-aware retrieval that surfaces the right products every time.
- 80%
- faster document processing
- 52%
- fewer no-shows
- Q1
- average payback period
From kickoff to live system
A typical engagement runs 6–8 weeks. Here is what happens each week so you always know where things stand.
- Week 1
Discovery & Process Mapping
We map your goals, constraints and existing systems to define a clear, measurable scope.
↓ - Week 2
Architecture & Integrations
We design the technical blueprint — data flows, models, integrations and security controls.
↓ - Weeks 3–5
Development
We build in tight iterations with weekly demos so you see progress every step of the way.
↓ - Week 6
Deployment
We ship to production with monitoring, documentation and a smooth handover.
↓ - Week 7+
Optimisation
We monitor, tune and evolve the system as usage patterns emerge and needs grow.
Tools we use
We choose proven, production-tested technologies — not whatever is trending.
Results from similar projects
Real outcomes from clients with the same challenges you're facing.
Why choose Ascii-Core for ai engineering?
There are many agencies offering ai engineering services. Here is what makes Ascii-Core the right engineering partner for companies that need production systems — not prototypes.
- RAG and evaluation pipelines are standard — AI outputs are grounded in your data, not generic model knowledge.
- Weekly engineering demos throughout delivery — no monthly status decks, no surprise scope changes.
- Clients commonly reduce manual processing hours by 60–80% and recover costs within the first quarter.
- Production deployments include monitoring, structured logging, guardrails and human-in-the-loop fallbacks as standard.
- Long-term retainers available for AI operations, model updates and system improvement after launch.
Related services
Industries we serve
Tool comparisons
Not sure which approach is right? Read our unbiased comparisons related to ai engineering.
Common questions
Everything you need to know about our ai engineering services.
Book an AI Strategy Session
Book a short call and we'll show you exactly how we'd approach your situation.
Reviewed by the Ascii-Core Engineering Team — specialists in AI engineering, workflow automation, product development and enterprise software architecture. Content reviewed regularly to reflect current technologies and implementation practices. · Updated June 2026