Applied AI

Offerings / AI

AI for business means putting artificial intelligence to work on one routine problem at a time, such as invoices keyed by hand or approvals stuck in email. THUSA Applied AI delivers it as a managed AI service for South African companies. You get a workshop first. A fixed-price pilot follows. Once the system is live, hosting, monitoring and optimisation carry a monthly fee.

Process automation is the working core. THUSA automates business processes across documents, email, workflow, forecasting and customer service, one named problem at a time, starting from the process that costs the most hours.

The route is the same. Whether it is AI in small business or AI for companies with bigger teams, find one routine problem, fix it, measure the result and then choose the next one.

The operational AI challenge

AI for business can stall. Six practical problems cause it, from the data a model needs to the people who use it, and THUSA works through each before a project is approved.

Hype against reality.

The promise is transformation; the work is data, integration and change.

Skills scarcity.

AI for small businesses and large ones alike needs specialist skills, and an occasional project rarely justifies a full-time hire.

Unclear use cases.

AI in business needs a return big enough to justify the build.

Data preparation.

A model needs clean, structured data, so messy records need work first.

Integration.

Business automation has to run inside existing applications, not beside them.

Change management.

Process automation that nobody adopts has delivered nothing.

Process automation earns its place only when all six problems are answered, so THUSA starts by automating processes one problem at a time. It starts small.

What THUSA applied AI delivers

THUSA delivers AI for business and process automation on Microsoft Azure AI, OpenAI and Microsoft Copilot where they fit, and each build targets one named problem with a measurable return. Where an off-the-shelf service will not do, it builds purpose-built models.

Invoice processing:

Vendor, amount, line items and terms are read from invoices and posted into the accounting system.

Email classification:

Mail is routed and prioritised, and routine replies are drafted for a person to approve.

CV screening:

Candidates are screened against role requirements and shortlisted before anyone reads an application.

Forecasting:

Demand, equipment failures and customer churn are predicted from historical patterns.

Each is a business automation solution. It targets one named problem, and a person stays in the loop wherever judgement is needed.

Core applied AI capability areas

Each engagement targets one of six areas where AI for your business already pays its way, and business automation keeps a person's judgement alongside it. The table sets them out.

Area

Document process automation

What business automation covers
Invoices, purchase orders, contracts, CVs and forms
Result
Less administrative work, faster processing

Email

What business automation covers
Routing, priority sorting and drafted replies
Result
Faster communication, less routine handling

Workflow

What business automation covers
Approval routing, task assignment and exception alerts
Result
Fewer delays from manual coordination

Predictive analytics

What business automation covers
Demand, equipment failure and churn forecasts
Result
Better forecasting and planning

Customer experience

What business automation covers
Chatbots, search and recommendations
Result
Better service, lighter frontline load

Technology stack

What business automation covers
Azure AI, OpenAI, Copilot and custom models
Result
Governed, measurable adoption

Implementation lifecycle

Putting AI in business to work takes five gates, from use case identification to change management. THUSA models the return at the feasibility step. The pilot is measured against it. A pilot that misses it is redesigned or set aside, never pushed into production, because the return has to be shown before production is priced.

  1. Stage

    Workshop

    AI for business gate

    Use case identification

    What happens
    • Structured workshops find automation opportunities and tie each to a return
  2. Stage

    Assessment

    AI for business gate

    Feasibility assessment

    What happens
    • Data readiness, integration and ROI are modelled before any commitment
  3. Stage

    Limited scope

    AI for business gate

    Pilot implementation

    What happens
    • A focused pilot is measured against the modelled return
  4. Stage

    Full scale

    AI for business gate

    Production deployment

    What happens
    • Integration, testing, governance and rollout
  5. Stage

    Adoption

    AI for business gate

    Change management

    What happens
    • User enablement, documentation and stakeholder communication

How AI for your business is priced

The discovery workshop and the pilot carry fixed fees. The return is modelled and measured before production is priced.

Production is a project price. Ongoing operations carry a monthly fee for hosting, monitoring and optimisation, and for AI in small business that puts a fixed fee on finding and testing an opportunity.

Success metrics

THUSA judges AI for business and automating business processes on five outcomes:

time savings

Against the routine manual effort replaced;

cost reduction

From process automation;

accuracy improvement

Against the manual process;

throughput increase

In workflows and capacity;

user adoption,

Tracked alongside ROI and payback period.

Adoption is its own measure. It is not assumed once a pilot succeeds. Small business AI is judged on the same five outcomes. Where governing AI is the gap, IT maturity covers governance across six capability domains, and the saving from process automation shows up in IT cost efficiency.

The THUSA approach

THUSA treats AI for companies, small business AI included, as a working capability and not an experiment, and automating business processes follows the same four steps.

Assess.

Workflow, process and data readiness, feasibility, governance and security capability, and a model of the ROI.

Prioritise.

Initiatives are ranked on operational impact, ROI potential, user adoption and governance.

Implement.

Azure AI integration, OpenAI implementation, workflow and process automation, Copilot enablement and rollout management.

Continuously Improve.

Automation performance, user adoption, governance reviews and ROI reporting are reviewed on a standing cycle.

Why THUSA applied AI

THUSA reports 25+ years in operation, 99.95% uptime achieved and an average of 15 minutes to respond to critical incidents, as company-wide figures, not AI results. AI for business and process automation sit alongside THUSA's managed IT services. There are no science projects. THUSA judges AI for business on the return. Each business automation solution is built to cut cost, lift productivity or improve the customer's experience. Small business AI needs the same discipline as larger programmes. Copilot is enabled across Microsoft 365 as a governed capability. To see how THUSA works with clients, read its client case studies.

THUSA company figure

What it measures

25+ years

In operation

99.95%

Uptime achieved through proactive monitoring and preventative maintenance

15 minutes

Average response time for critical incidents

24/7

Operations team, security team and monitoring centre

Next steps

Start with the process that costs the most hours. THUSA offers a complimentary AI opportunity assessment. The workshop and the pilot that follow are fixed-fee, whether it is AI in small business or a larger programme. A feasibility assessment follows for the opportunities worth pursuing, before any business automation is built and before any production price is set.

FAQ: AI for business

What can AI for business realistically do for a mid-sized South African company?

AI for business takes over routine, rule-bound work. It reads invoices, contracts and CVs into the right systems, routes email and approvals, and forecasts demand, equipment failure and customer churn. One problem at a time. So AI in business starts with a workshop and a pilot, and the first result is measured before anything scales.

Where should AI for small businesses start?

With one routine problem. AI in small business follows the same route at THUSA as anywhere else, starting with a workshop that finds the business automation opportunity. A feasibility assessment then checks data and integration. A fixed-price pilot tests the return before production is priced. A small business AI project pays a fixed fee for the workshop and the pilot, and production is priced once the return is shown.

Which processes can a business automation solution cover?

Process automation covers documents, email routing, approval routing and forecasting. It also covers chatbots that answer common customer questions and hand hard ones to a person, and it reads invoices, purchase orders, contracts, CVs and forms. This business automation runs on Microsoft Azure AI, OpenAI and Copilot. Purpose-built models fill any gap.

Is our data safe when process automation uses AI tools such as Microsoft Copilot?

That depends on what the AI can reach and how its use is governed. For process automation, THUSA checks data readiness, integration, governance and security before any pilot, and builds governance in at production, with Copilot enabled as a governed capability. A person reviews drafted email replies before they are sent. Licence readiness sits with Microsoft 365.

How do you measure ROI when automating business processes?

THUSA models the return at the feasibility step, then measures the pilot against it, so AI for business is judged on results. Five outcomes count. They are time savings, cost reduction, accuracy, throughput and user adoption, with ROI and payback period alongside. When automating business processes, a pilot that misses its return is redesigned or set aside rather than pushed into production, and adoption is measured on its own.

What does AI in small business cost?

Price follows the stage. Fixed fees cover the discovery workshop and the pilot. Production deployment is priced as a project, and ongoing operations carry a monthly fee for hosting, monitoring and optimisation. For AI in small business, finding and testing a business automation opportunity carries a fixed fee before production is priced. Each stage has its own price, so small business AI can be budgeted in steps.

What is the first step towards AI for your business?

A complimentary AI opportunity assessment. It finds workflow and process automation opportunities, notes data readiness, ranks use cases by ROI potential and flags governance and security points, all before any pilot. AI for your business then starts from a short, ranked list of practical options. A feasibility assessment follows for the ones worth pursuing.

Stop managing IT.
Start relying on it.

Ready when you are

THUSA cuts IT downtime and lifts efficiency. Tell us about your business. Talk to a managed IT services provider that takes ownership.