Learn from
Authorized Training Institute
Leverage AI & Analytics with Expert Consulting
IABAC Consulting supports organisations in leveraging AI and analytics to drive meaningful business impact.
We've seen too many AI projects end as expensive PowerPoints. Everything we do is built around making AI actually work inside your business — live, running, and delivering results your finance team can point to.
200+
Projects delivered
6
Core service areas
94%
Client satisfaction
01
AI Strategy & Consulting
A lot of companies come to us having already spent months going in circles on AI. They've run workshops, read reports, maybe hired someone — and still don't know which problem to actually solve first. That's what this service fixes. We sit down with your team, dig into your operations, and find the spots where AI genuinely creates business value — not where it looks good in a presentation. You leave with a practical roadmap your leadership team can actually execute, complete with timelines, resource needs, and ROI numbers that mean something.
What you receive
- 90-minute executive discovery workshop with key stakeholders
- Full 47-point operational AI readiness audit report
- Top 5 AI opportunity map ranked by ROI potential
- Phased 12-month AI roadmap with milestones & resource plans
- Build-vs-buy analysis for each recommended solution
- Board-ready executive presentation deck
- 30-day post-delivery Q&A support
AI Readiness Assessment ROI Modelling Change Management Executive Advisory Roadmapping
02
Machine Learning Solutions
Anyone can plug in a generic ML API. What actually gives you an edge is a model trained on your data — your customers, your history, your processes. We build custom predictive, classification, and optimisation models that reflect how your business actually works, not some average of every business out there. Every model we hand over is production-ready, properly documented, and built for your team to own and maintain going forward.
What you receive
- Data exploration, feature engineering & preparation
- Custom ML model design, training & hyperparameter optimisation
- Model validation, testing & bias evaluation report
- Production deployment via REST API or embedded SDK
- MLOps pipeline — automated retraining & drift detection
- Model explainability documentation for stakeholders
- 90-day post-launch monitoring & performance tuning
Python / PyTorch / TensorFlow Scikit-learn XGBoost AWS SageMaker MLflow Kubeflow
03
Generative AI Solutions
There's a big gap between a Gen AI demo that looks impressive in a meeting and a system that actually holds up in a real production environment. We've seen both ends of that gap. What we build handles your actual data, your edge cases, your brand voice, and whatever compliance requirements your industry throws at it. Whether it's a customer-facing chatbot, an internal document tool, or an AI assistant for your team — we build it to last, not just to demo.
What you receive
- Use-case scoping & LLM selection (GPT-4, Claude, Gemini, Llama, etc.)
- RAG architecture design & knowledge base construction
- Prompt engineering, fine-tuning, or RLHF where applicable
- Guardrails, safety filtering & hallucination mitigation
- Production API + UI integration with your existing tools
- Cost optimisation — latency & token usage management
- Evaluation framework & quality monitoring dashboard
OpenAI GPT-4 Anthropic Claude LangChain LlamaIndex Pinecone Weaviate RAG
04
Data Analytics & Engineering
The honest truth about most AI failures? It's not the model — it's the data underneath it. Messy, scattered, half-labelled data sitting across four different systems is the norm, not the exception. Before we build anything smart, we build something solid. Our team cleans up the foundation, constructs reliable pipelines, and makes sure your data actually flows where it needs to go — to your AI models, to your dashboards, and to the people who need to act on it.
What you receive
- Data audit — quality, completeness, and structure assessment
- ETL / ELT pipeline design and implementation
- Data warehouse or lakehouse architecture setup
- Real-time streaming pipelines where required
- Feature store construction for ML readiness
- Business intelligence dashboards (Tableau, Power BI, Metabase)
- Data governance documentation and team training
Apache Spark dbt Airflow Snowflake BigQuery Databricks Kafka
05
AI Integration & Deployment
Getting an AI model to work in a lab is one thing. Getting it to work inside your live CRM, ERP, or customer product — without breaking anything, confusing your team, or creating a security headache — is a completely different challenge. That's where most deployments stall. We handle the entire integration journey, from how the model gets served to how your team interacts with it, with proper access controls, monitoring, and documentation so the handover actually sticks.
What you receive
- System architecture review & integration planning
- REST / GraphQL API development for AI model serving
- CRM, ERP, or custom application integration
- Cloud infrastructure setup (AWS, Azure, GCP)
- CI/CD pipeline for model updates & zero-downtime deployment
- Security, access control & audit logging setup
- Full team training and technical handover documentation
Docker / Kubernetes FastAPI Salesforce / HubSpot SAP AWS Lambda Azure Functions CI/CD
06
AI Training & Upskilling
The technology is only as good as the people behind it. We've seen teams get handed AI tools they barely use because no one took the time to actually teach them. We do things differently. Whether it's your leadership team getting up to speed on what AI means strategically, your product managers learning to work alongside AI systems, or your engineers building real skills in ML and deployment — we design training that fits your team, your industry, and the way your people actually learn.
What you receive
- Pre-training skills assessment for all participants
- Custom curriculum design for your team and industry
- Live instructor-led sessions (online or on-site)
- Hands-on labs with real datasets from your domain
- IABAC certification pathways for participants
- Post-training assessment and skills gap report
- 30-day follow-up Q&A and resource portal access
Executive AI Literacy ML Fundamentals Gen AI for Business Data Science Bootcamp Prompt Engineering AI for Managers
Case Studies
Real Projects, Real Results
A selection of delivered engagements across industries and service types — all with verifiable, documented outcomes.
Retail · AI Strategy + ML
RetailMax Global
Inventory optimisation ML model
The Challenge
significant value tied up in excess inventory annually. Manual demand forecasting was wildly inaccurate. Leadership had no alignment on where AI could help.
What We Did
Ran AI strategy audit — built custom demand forecasting model — integrated with SAP — deployed with MLOps pipeline for continuous retraining.
38%
waste reduction
significant value
annual savings
11x
ROI on project fee
14wk
delivery time
"They identified the opportunity, built the model, and integrated it — all in 14 weeks. The ROI was visible within the first month of go-live." — COO, RetailMax
Healthcare · Generative AI
HealthBridge Hospitals
Patient intake AI document processor
The Challenge
Patient intake took 45 minutes of staff time per patient. 3 FTEs dedicated to form processing. High error rate causing downstream billing issues.
What We Did
Built an LLM-powered document intelligence system that reads, extracts, validates, and routes patient intake documents automatically — integrated with their existing HIS.
82%
waste reduction
98.4%
extraction accuracy
6wk
payback period
3 FTE
redeployed
"Staff adoption was surprisingly smooth because they were trained from day one. It paid for itself in 6 weeks." — CTO, HealthBridge
Fintech · ML + Integration
FinVault Technologies
Real-time transaction fraud detection
The Challenge
Rule-based fraud system generating 40% false positives — blocking legitimate customers. Missing 22% of actual fraud. Manual review team overwhelmed.
What We Did
Built gradient boosting fraud scoring model with real-time inference API integrated into their payments gateway. Sub-50ms scoring latency in production.
91%
detection accuracy
67%
fewer false positives
significant value
fraud prevented
48ms
fraud prevented
Built gradient boosting fraud scoring model with real-time inference API integrated into their payments gateway. Sub-50ms scoring latency in production.
FAQS
Questions About Our Services
Straight answers to the questions clients ask most before committing to a project.
Can We Start With Strategy And Then Move To Build?
That's The Most Common Path. Many Clients Start With The AI Strategy Engagement To Get Internal Alignment And Clarity, Then Move Straight Into A Build Project With The Same Consultant. The Context Carries Over Naturally, And Strategy Clients Get A 10% Discount On Follow-On Work.
Do You Use Our Data To Train Models For Other Clients?
Absolutely not. Your data remains your property. We build custom models on your private infrastructure, ensuring complete data isolation and security. Any insights or models generated from your data are exclusively yours.
What If We Need Multiple Services At Once?
Most complex projects require a mix of data engineering, ML, and integration. We can scale our team to handle multi-threaded engagements, providing a single point of management while experts across different domains work in parallel.
What Cloud Platforms Do You Work With?
We are platform-agnostic but have deep expertise in AWS, Microsoft Azure, and Google Cloud Platform. We'll work within your existing ecosystem or help you choose the best platform for your specific AI requirements.
How Do You Handle Projects That Run Over Timeline Or Budget?
We use an agile, milestone-based approach. We communicate early and often if scope changes are required. Our fixed-fee strategy for specific phases ensures budget predictability for your most critical initiatives.
Can We Get A Pilot Or Proof-Of-Concept Before Full Commitment?
Yes, we often start with a 4-week Proof of Concept (PoC) to validate technical feasibility and ROI potential before moving to a full-scale production deployment.
FREE AUDIT · NO COMMITMENT
Not Sure Which Service You Need? We'll Tell You.
Book a free 90-minute AI opportunity audit. We'll map your operations, identify the highest-ROI starting point, and give you a clear recommendation — with zero pressure to proceed.