Digi7s engineers AI agents, data intelligence, voice, knowledge and automation into the places where business actually happens.
AI agent development and business process automation for repetitive work across CRM, ERP, email and approved messaging channels. Keep approvals and exceptions with your team.
Open capability ↗Inputs become decisions. Decisions become controlled action. Every step stays observable.
AI CORESwitch the operating signal, then run it. The output shows understanding, context, decisions and action—not a generic chat reply.
Illustrative sample data. No live model, call or external system is connected; no records are created or changed.
Start with the work that is slow, fragmented or impossible to scale with more people.
Choose the problem you need to solve. Each service connects a business workflow, the information it depends on and the people responsible for the result.
AI agent development and business process automation for repetitive work across CRM, ERP, email and approved messaging channels. Keep approvals and exceptions with your team.
↗Arabic and English conversational AI for inbound calls, customer enquiries, lead qualification and appointment requests. Connect voice agents and WhatsApp Business workflows to your team with a clear human handoff.
↗Enterprise search and retrieval-augmented generation (RAG) development that lets staff find answers across approved company documents. Deliver cited responses, source updates and permission-aware access.
↗Organise scattered files and records, identify duplicates and missing information, and assess data quality before migration, reporting or AI adoption. Turn unstructured data into a searchable, governed collection.
↗Intelligent document processing combines OCR, classification and AI data extraction to turn forms, scanned records and reports into validated information. Route uncertain fields to review before updating connected systems.
↗Custom AI development for internal tools, business applications and customer experiences. Combine language models, agents, retrieval and integrations around a defined workflow with measurable acceptance criteria.
↗Connect AI systems to business applications with scoped permissions, evaluation, monitoring and recovery plans. Assess operational risks and define human oversight; formal certification and legal assurance are outside this technical service.
↗Shared drives, spreadsheets, scanned records and disconnected applications often hold the information a team needs. Before adding AI, we establish what exists, who owns it and whether it is reliable enough for the intended workflow.
Identify duplicates, missing fields, inconsistent naming and access gaps. Agree a usable metadata structure and document the issues that affect search, reporting or automation. Deleting or merging records requires your approval.
Receive a prioritised remediation plan and a view of what is ready for AI. We can then design a knowledge assistant, document-processing workflow or custom application around the approved sources.
When an off-the-shelf assistant cannot follow your operating rules, we build a focused AI application around your users, data and existing systems. The scope starts with a measurable task, not a list of models.
An internal research workspace, a customer-service assistant, a document-review queue or an agent that coordinates approved actions across CRM, ERP and other business applications.
We review supported APIs, data ownership, authentication and access boundaries. Where a connector is unavailable, the integration approach is agreed before implementation.
A defined workflow, user interface where needed, integrations, evaluation examples, human review rules and an operating guide. Handover, ownership and support responsibilities are agreed in the engagement.
Test task success, answer quality, exception handling, response time and operating cost against representative work. Broaden the scope when evidence supports it.
Clear decisions at each stage. Progress measured against the operation, not the number of features shipped.
Define the process, baseline and success criteria.
Output: opportunity brief + scopeMap knowledge, tools, permissions and handoffs.
Output: system architecture + access planTest representative cases, failures and human escalation.
Output: evaluated workflow + acceptance criteriaRoll out with ownership, monitoring and improvement.
Output: runbook + performance reviewChoose one recurring process with clear inputs, an identifiable owner and an outcome you can measure. Discovery tests whether AI, simpler automation or a process change is the best fit.
We assess APIs, supported connectors, permissions and data quality first. Integration scope depends on the access and capabilities your systems provide.
The goal is to reduce repetitive effort while keeping people responsible for judgment, relationships and exceptions. Human review is designed into the workflow.
We agree system ownership, monitoring, support and improvement responsibilities before rollout. Ongoing delivery can include evaluation, incident handling and new workflows.
Scope follows the workflow, data readiness, integration complexity and operating controls. We define deliverables and acceptance criteria before implementation.
Show us one process, the inputs it depends on and the outcome it should create. We will map the system around it.
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