At AEHEA, we deliver practical AI services and solutions that help organizations unlock the value hidden within their own data and workflows. Every tool we build is designed to integrate naturally into your operations, enhance decision-making, and scale with your business. Below is a breakdown of our core services.
AI Workflow Automation
We help businesses identify repetitive, manual processes and replace them with smart, automated systems. Whether it’s email triage, document classification, approval pipelines, or task assignments, our automation frameworks reduce human error, speed up response times, and free your team to focus on meaningful work.
Our solutions integrate with the systems you already use, including CRM platforms, internal databases, messaging tools, and shared drives. The result is a custom automation layer that operates quietly in the background but delivers measurable efficiency gains across departments. We automate repetitive and rule-based workflows using intelligent systems tailored to your operational needs. These automations act as quiet operators within your infrastructure, ensuring consistency and freeing up your team’s time.
Common Use Cases:
- Email classification and routing
- HR request processing
- Client onboarding sequences
- Invoice handling and reconciliation
- Approval chains and notifications
Technologies & Tools Used:
- Make.com / Zapier – for low-code integrations
- Python (FastAPI, Pandas, Celery) – for custom logic flows
- LangChain / LlamaIndex – for contextual decision-making
- OpenAI API / Mistral / Claude – for intelligent classification or summarization
- Google Apps Script / Office 365 Automate – for native automation within existing productivity suites
- Webhook integrations – for connecting legacy software
Security Practices:
- Role-based access control
- Encrypted task logs
- Audit trail logging for compliance
Intelligent AI Document Processing
Your business generates valuable data every day through PDFs, emails, spreadsheets, and forms. AEHEA builds systems that turn these unstructured documents into searchable, structured knowledge that you can actually use.
We apply natural language understanding, OCR, and custom parsing techniques to extract relevant insights from contracts, invoices, legal documents, support tickets, and more. Our models are tuned to your domain, so they learn what matters and ignore what doesn’t.
This is not off-the-shelf OCR. It’s intelligent context-aware parsing tailored to your workflows. We transform unstructured data locked in documents into structured, machine-readable content that can be searched, queried, or used in decision-making systems.
Document Types Processed:
- Contracts, NDAs, policy documents
- Invoices, receipts, financial statements
- Legal filings and correspondence
- Support tickets and customer forms
Technologies & Tools Used:
- Tesseract OCR / Google Vision OCR / AWS Textract – for text extraction
- spaCy / NLTK / Transformers (HuggingFace) – for natural language parsing
- Regex + rule-based tagging – for domain-specific patterns (e.g., VAT ID, IBAN)
- LangChain / LlamaIndex – for context-aware segmentation and classification
- ElasticSearch / SQLite / PostgreSQL – for structured storage and querying
Output Formats:
- JSON
- CSV
- SQL-ready records
- Custom tagging schemes for ingestion
Security Features:
Masking of PII on ingestion.
Localized processing where needed
No cloud transfer unless agreed
Custom AI Assistants
We build virtual assistants that sound like you, think like your team, and speak your client’s language. These are not generic chatbots. They are built using your business’s actual knowledge base, client interactions, internal terminology, and communication style.
Assistants can be deployed on your website, in your internal tools, or in client-facing platforms. They can respond to customer questions, assist with onboarding, offer guided navigation, or act as internal knowledge agents for staff.
Every assistant is carefully scoped, tested, and refined in collaboration with you, ensuring accuracy, tone alignment, and security.
We develop smart assistants tailored to your brand, domain, and knowledge base. These systems are designed to sound natural, behave predictably, and integrate directly into your tools.
Assistant Use Cases:
- Internal knowledgebase querying for staff
- Website customer service
- Sales prospect qualification
- HR onboarding or benefits explanation
- Legal clause interpretation
Technologies & Tools Used:
- OpenAI GPT-4 / Claude / Mistral – as foundational models
- LangChain / Semantic Kernel – for chaining instructions and managing memory
- Vector databases (FAISS, Qdrant, Pinecone) – for knowledge embedding
- HuggingFace Transformers – for on-prem alternatives
- Custom UIs or integrations – for embedding into WordPress, Notion, Slack, or MS Teams
Customization Layers:
- Prompt tone calibration (formal, helpful, concise)
- Brand voice modeling
- Multi-lingual capability
- Access to company documents, policies, and procedures
Deployment Options:
- Embedded on internal portals
- Integrated into CRMs or knowledge systems
- API endpoint with authentication
AI Prompt Engineering
Building with large language models is not about typing a clever sentence and hoping for the best. Prompt engineering is a process of crafting structured, layered instructions that guide models toward useful, consistent outputs.
AEHEA offers prompt design as a standalone service or as part of larger systems. We create prompt libraries for legal use cases, customer support agents, financial analysis, HR documentation, product recommendation engines, and more.
Each prompt is tested against edge cases, optimized for speed and cost, and refined to align with business goals. If you are already using AI tools but not getting the results you expect, we can tune your prompts for clarity, control, and value.We design prompts that unlock the real power of LLMs. This is not about clever phrasing, but structured, test-driven development that delivers consistent outputs at scale.
Use Cases:
- Legal clause drafting
- Report summarization
- Knowledge transformation (long documents → bullet insights)
- Data formatting or rephrasing
- Multi-step reasoning with tool calling
Approach:
- Prompt chains with validation logic
- Embedding of tools (calculator, date parser, function calls)
- Cost-optimized completion design
- Precedent testing with accuracy scoring
Tools Used:
- PromptLayer / LangSmith – for evaluation and versioning
- OpenAI Playground + Azure OpenAI – for model access and latency tuning
- Guardrails.ai / Rebuff – for output filtering and safety constraints
- LLM Unit Tests – to measure accuracy over time
Industries Served:
HR (policy rephrasing, resume screening)
Legal (discovery, summarization)
Financial (report automation)
Marketing (tone adaptation, keyword generation)
Data Structuring and Preparation
The success of any AI implementation depends on the quality of your data. We assist clients in locating, cleaning, and structuring their internal data before deploying any models.
This includes merging disconnected datasets, extracting key fields from documents, normalizing inconsistent inputs, and converting raw business content into formats usable by AI systems. We also advise on compliance and storage best practices.
No model works well without strong foundations. We help you build them.Before deploying any AI model, we ensure your data is ready for use. Clean data means faster development, fewer bugs, and lower operating costs.
Data Types We Handle:
- CRM exports (CSV, XLSX)
- Email corpora (EML, MBOX)
- PDF scans or image-based forms
- Legacy database records
- Knowledgebase articles or wikis
Tools and Techniques:
- Python (Pandas, Dask, OpenRefine) – for cleanup and normalization
- OCR + Entity Recognition Pipelines
- Custom ETL Pipelines (Extract, Transform, Load)
- YAML / JSON transformations for ingestion into vector databases
- LangChain formatters – for aligning text with LLM expectations
Deliverables:
Optional hosting or delivery to your preferred environment
Structured, clean dataset
Audit logs
Conversion scripts for future updates
Strategic AI Consulting
For businesses exploring how AI fits into their organization, AEHEA offers strategic consulting. We help leadership teams understand what is possible, where to start, and how to scale safely.
This includes roadmap planning, use case identification, vendor evaluation, team alignment, and risk management. We speak both technical and operational languages, so we act as a bridge between your innovation goals and your existing resources.
Every recommendation we make is grounded in actual feasibility, not theory or hype. We advise executives and project owners on how to adopt AI thoughtfully. Our consulting includes both strategy and actionable delivery plans.
What We Cover:
- Identifying high-impact AI use cases in your operation
- Assessing tool readiness and internal capabilities
- Mapping budget, timeline, and delivery goals
- Governance and compliance alignment
- Training teams to manage or collaborate with AI
Formats Offered:
- One-time strategic assessments
- Ongoing advisory retainers
- AI readiness audits
- Competitive advantage workshops
Tools Used During Engagement:
- Notion / Miro – for visual planning
- Trello / Asana / Linear – for project planning if needed
- Custom LLM diagnostic tools – to simulate AI on your documents or tasks
- PDF delivery of final recommendations
📞 Ready to Get Started?
We will meet you at any point in your journey—from your first question about AI to scaling a production-level assistant.
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If your organization is ready to move from experimentation to execution with AI, AEHEA is here to guide the transition. We operate as a partner, not a vendor. We build tools you will own and understand.
📩 Ready to talk? Contact us to schedule a discovery call.