AI, data and software services
Choose the work from the problem you need to solve. These guides explain scope, inputs, delivery choices and ways to assess the result.
Choose a starting point
You do not need to choose a platform or model before describing the problem. Identify the work that is delayed, repeated or difficult to check, then use the groups below to find a relevant service.
A project can need several services. The aim is one agreed scope with clear responsibilities, rather than a separate project for every label.
Understand the work and choose a direction
Start here when the problem, decision or priorities need definition before choosing a tool.
Process Mapping for AI
QuantalAI maps your business processes ready for AI. Document workflows, decisions, systems and data, then identify practical opportunities for automation.
Read the service guideAI Strategy and Planning
Create a prioritised AI plan tied to your business goals, with cost assumptions, practical pilots, owners and criteria to build, buy, revise or stop.
Read the service guideData-Driven Decision Making
Define a recurring decision, compare options and record evidence, assumptions and review dates. Build a process your team can inspect and repeat.
Read the service guideConnect data and existing systems
Start here when information moves poorly between applications or an older system needs a planned transition.
Integration Services for Connected Systems
Connect CRM, finance and operational systems with field ownership, matching rules, retries and reconciliation. Scope the interfaces first.
Read the service guideCloud Solutions & Integration
Plan cloud migration and connected reporting around workload needs, access, recovery, data refresh and operating costs, with a tested cutover and handover.
Read the service guideLegacy System Migration
Assess legacy dependencies, map historical data and rehearse migration with reconciliation and recovery criteria before retiring the old platform.
Read the service guideBuild and improve workflows
Start here when the required behaviour is understood and the next task is to change or build the working process.
Automation & Efficiency
Automate recurring business tasks with documented rules, exception handling and recovery tests. Compare saved effort with review, licensing and support costs.
Read the service guideProcess Optimisation
Redesign workflows using evidence about waiting, handling time and rework. Test changes against service quality and controls before expanding.
Read the service guideAI Startup MVP & Custom Software
Assess whether to buy, configure or build software. Scope a useful first release with user workflows, acceptance tests, ownership and operating costs defined.
Read the service guideSoftware Development & Application Maintenance
Develop and maintain web and mobile applications with reproducible builds, reviewed changes, regression checks and a documented release and recovery process.
Read the service guideTailored AI Solutions for Business
Scope a business solution that combines existing tools, integration and custom work, with one end-to-end acceptance plan and clear maintenance responsibilities.
Read the service guideDesign AI with appropriate controls
Start here when the task needs a model, an assistant, organisational context or a decision about AI governance and hosting.
Artificial Intelligence
Assess and implement AI for a defined business task, with test cases, data controls, human review and clear criteria for proceeding to production.
Read the service guideAI Agent Development for Business
Build AI agents for document handling, service enquiries and connected workflows, with source checks, action controls and tests against your real cases.
Read the service guideOrganisational Twin
Build an Organisational Twin with QuantalAI. Connect your people, processes, systems and data in a digital model to plan your business transition to AI.
Read the service guideSovereign AI for Data You Control
Assess private and self-hosted AI for data control, model quality, licensing, security and operating cost. Test the complete system before deployment.
Read the service guideAI Governance Services
AI governance for Australian organisations: an inventory of uses, clear ownership, data rules, approval criteria, evidence and a continuing review process.
Read the service guideEvaluate, recover and introduce change
Start here when you need to interpret data, assess an existing build or help staff adopt a changed workflow.
Data Insights & Analysis
Build analytics with agreed metrics, source reconciliation, visible refresh dates and clear ownership. Test forecasts against useful baselines.
Read the service guideVibe Coding Rescue
Stuck with an AI-built app? QuantalAI's Vibe Coding Rescue finds the blockers, repairs broken features and helps you get your application ready to use.
Read the service guideTransformation Management
Plan an AI rollout with role-based training, workflow readiness, feedback and outcome measures. Test the change with a bounded group before wider adoption.
Read the service guideSupport ongoing delivery
Start here when you need continuing planning, operational support or a defined change in delivery capacity.
Technology Partner
Maintain a technology roadmap, review vendors and scope delivery with an ongoing partner. Define decision authority, capacity and support boundaries.
Read the service guideManaged Services & Support
Scope ongoing support for applications, integrations and AI workflows with clear service hours, incident priorities, maintenance responsibilities and reporting.
Read the service guideRamp Up / Ramp Down
Plan temporary AI and engineering capacity around defined work, onboarding and exit criteria. Agree schedules, costs and handover before starting.
Read the service guideHow the services fit together
Consider a fictional team that types each approved order into three applications. Process mapping can establish where approval occurs and which information each step needs. Integration can transfer the accepted record between systems. Custom software may be needed for a step the existing applications cannot support.
If the order begins as an unstructured email, AI extraction might help prepare the fields for review. That is a separate question from whether the approved order reaches all three applications correctly. The acceptance check should follow the order through the complete workflow.
This example is a way to frame the work, not a recommendation to buy every service. Start with the smallest scope that can resolve the demonstrated problem.
Bring enough detail to define the first scope
- A representative input and the result you expect, with sensitive information removed where possible.
- The systems and people involved, including who can approve a change.
- The current delay, error or effort you want to improve.
- The constraints: budget, timing, access, operating hours and work that must continue during a change.
Agree the deliverable, exclusions, review process and ongoing ownership before work begins. For examples of how those decisions can be documented, see the illustrative solution designs and the engagement guide.