Technology & AI Solutions

SME owners, operations leaders, project sponsors and functional managers considering automation for administration, reporting, sales, customer service or information handling.

• Teams spend time transferring information, preparing documents or chasing routine updates.
• AI tools are introduced without a defined workflow, owner or acceptance criteria.
• Data quality, privacy, access and integration constraints are unclear.
• The expected business benefit has not been compared with implementation and maintenance costs.

• Current-state process and hand-off review
• Information quality, permissions and system-access requirements
• Comparison of manual improvement, rule-based automation and AI assistance
• Workflow design, draft templates and required human checks
• Ownership, exception handling and fallback requirements
• Evaluation measures and, where useful, a proposed pilot boundary

• Opportunity shortlist ranked against business priorities and feasibility
• Readiness assessment covering process, data, access and operational constraints
• Business case assumptions, options and cost considerations
• Workflow design, system requirements and approval responsibilities
• Pilot scope, acceptance criteria and evaluation plan
• Governance, monitoring, exception handling and maintenance requirements

• Free introductory call: discuss one workflow and whether a review would help.
• Scoped process and AI opportunity review: agree information, outputs, timing and fees.
• Next decision: use the design and evidence gaps to choose an internal process change, further discovery or consideration of a limited technical trial.

A working pilot, agent or system connection is a later assignment only after delivery capability, technical feasibility and scope are confirmed.

Understand — Map the work, information gaps and responsible roles.

Compare — Consider a simpler process, conventional automation or source-based AI assistance.

Design — Define inputs, draft outputs, human approval and exception handling.

Evaluate the next decision — Establish whole-workflow measures and what still needs technical verification before any pilot.

• A clearer decision on whether AI is appropriate for the task.
• A controlled path from an idea to a reviewable pilot and implementation decision.
• More explicit responsibilities for data, approvals, exceptions and ongoing performance.

Scope, deliverables, delivery availability, timing, fees and third-party requirements are confirmed in the proposal. Benefits depend on the operating context, evidence and implementation; outcomes are not guaranteed.

These examples show possible engagement contexts; they are not claims of completed SIGMA projects.

• Document handling: extract and organise selected information, with checks before records are updated.
• Project administration: prepare draft status summaries from approved sources for a project manager to review.
• Customer service: draft responses or retrieve information while retaining defined escalation and approval steps.
• Sales and reporting: organise research, draft summaries or support repetitive information tasks subject to source validation.

Conventional automation — Stable rules and structured fields may not need AI.

AI-assisted workflows — Consider source-based reading or drafting, with competent people checking outputs.

Tool-using or agentic workflows — A possible future design option requiring a separate feasibility, permission and delivery-capability decision. This page does not offer autonomous operation of customer systems.

Define permitted information, accountable owners, competent reviewers and a manual fallback. Include human checking, corrections, exceptions and ongoing cost when deciding whether a proposed change deserves a trial. A short self-assessment does not confirm technical or legal feasibility.

SIGMA’s current offer is process review and workflow design. A later technical assignment may involve specialist partners when capability, responsibility, availability and scope are confirmed; those specialists are not implied to be SIGMA employees.

• Business Automation
• AI-Assisted Business Solutions
• Technology Integration
• Process Mapping & BPMN 2.0
• Business Intelligence
• Management Dashboards
• Management Consulting

Discuss whether an existing SIGMA solution fits the business requirements. Supported functions, current access and demonstration availability are confirmed with SIGMA.

• SIGMAZORA Meet
• SIGMAZORA Market

Do we need AI agents?

Not necessarily. Conventional automation or an AI-assisted step may meet the requirement with less complexity. The assessment compares suitable alternatives.

Will the system make decisions without approval?

The level of autonomy is agreed for each use case. Higher-impact decisions and system actions can require human approval, access limits and an escalation path.

Who delivers the technical implementation?

SIGMA leads the business assessment, workflow design and implementation coordination. Specialist technical support may be engaged where the agreed scope requires it; delivery roles and availability are confirmed in the proposal.

Can you guarantee savings or full automation?

No. A business case uses explicit assumptions, and a pilot tests the proposed approach. Deployment follows business and technical feasibility review.

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Additional specialised SIGMA materials remain available where relevant.

This family covers professional technology services. SIGMA Solutions separately introduces SIGMAZORA Meet, SIGMAZORA Market and the SIGMA Auction Intelligence pilot. Product suitability, capabilities and availability are confirmed separately.