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High Risers

Transform Your Company With AI

We train your people, redesign how the work runs, and put AI agents into production inside the systems you already use.

An accounts payable exception flow before and after High RisersBefore: ten steps with three loops between matching, supplier emails, re-checks and approvals. After: five steps in a straight line.Before High RisersInvoice receivedMatch to orderMismatch?Email supplierWait for replyRe-checkEscalateApproveChase approverPost to ledgerProcess RedesignAfter High RisersReceive and read invoiceMatch to order and receiptClassify the exceptionApprovePost to ledger

Organisations we've worked with

  • Standard Bank
  • Old Mutual
  • Meta
  • Department of Communications & Digital Technologies

We don't just automate tasks. We transform departments.

A single automation that answers emails isn't transformation. We build agent systems that run whole workflows, from intake to execution to reporting, replacing the process chain rather than one step in it.

The result: a finance team that closes faster, an operations team without the backlog, and a compliance team that is always audit-ready.

How it works

From a structured audit of how your department runs to agents working inside it, and improving from there.

  1. Step 1

    AI Opportunity Audit

    A structured audit of how work moves through your department: across teams, systems and decision points. It shows where agents can remove manual coordination, cut cycle time, or take over a process end to end.

  2. Step 2

    Process Architecture and Redesign

    We design the agent system that will run the workflow and agree with your process owners what agents take on and what stays with people. It is built around your tools, data and operating rules, and you are kept in the loop the whole way.

  3. Step 3

    Production Deployment

    We deploy the agents into your stack, connected to live systems and workflows, so they start doing real operational work. Agents are built on top of your existing software, so no migration is required. We deploy on your cloud and, if you have agreements with a model provider, we use their models.

  4. Ongoing

    Agent System Optimisation

    After deployment we keep improving how the agents operate: sharper decision logic, higher reliability, and new responsibilities as the next workflow comes on.

Only AI-native organisations will keep pace

Agents don't just automate tasks. They remove the operational bottlenecks that slow organisations down.

  • Reduce operational overhead

    Agents remove manual coordination, approvals and repetitive work across systems.

  • Accelerate execution

    Processes that needed several handoffs now run continuously.

  • Scale without hiring

    Output grows without new headcount or new layers of coordination.

Building with the industry's best

  • OpenAI
  • Anthropic
  • Google
  • Microsoft
  • Amazon Web Services
  • Google Cloud
  • Snowflake
  • Databricks
  • Vercel
  • Supabase

Where our agents are deployed

High Risers deploys agent systems inside large organisations, across the operational functions that run the business.

  • Finance operations

    Agents handle accounts payable, accounts receivable, reconciliations, month-end close and management reporting. Close your books faster without the overhead.

  • Supply chain and logistics

    Agents reconcile freight and courier invoices, work purchase-order exceptions, track inbound deliveries and keep stores and inventory straight. Stop losing days to chasing.

  • Procurement

    Agents manage requisition to order, vendor onboarding, approvals, and contract and spend checks. Cut procurement cycle times and stop off-contract spend.

  • Tax and compliance

    Agents keep SARS diesel refund logbooks and apportionment claim-ready, reconcile VAT and assemble audit documentation. Stay audit-ready without the manual work.

And the workflows that cross between them, which is where most of the waiting happens.

Built to work with your systems

High Risers operates across your existing tools, connecting data, workflows and systems into one operational layer. We will never force you off your systems, and we will help you through it if you choose to move.

  • SAP
  • NetSuite
  • Sage
  • Salesforce
  • Microsoft Dynamics 365
  • Microsoft Excel
  • Microsoft Outlook
  • Microsoft Teams
  • Slack
  • Google Workspace

Use cases

Agents and pipelines we have put into production for finance, compliance and operations teams.

  • Finance operations

    Freight and courier reconciliation

    Built for a finance team after embedding with them and mapping how invoices, shipments and rate cards actually move. Reconciles courier and freight invoices, flags the exceptions and routes them with the evidence attached. Deployed across the existing ERP and reporting systems. No migration, no new software.

    Capabilities

    • Invoice to shipment matching
    • Rate card and surcharge checks
    • Exception triage and routing
    • Posting-ready reconciliation output
    Read the case study
  • Tax and compliance

    SARS diesel refund reconciliation

    Built for a diesel refund claimant after embedding with the finance team and mapping how logbooks, purchase records and claims actually move. Runs the reconciliation end to end and assembles a claim-ready pack with the audit trail the scheme requires. Deployed on the existing finance systems.

    Capabilities

    • Logbook and purchase record consolidation
    • Eligible versus non-eligible apportionment
    • Claim pack for the VAT201 submission
    • Five-year audit-ready retention
    Read the case study
  • Learning and safety

    Training video production

    Built for an operations team after embedding with them and mapping how procedures reach employees and site visitors. Turns written procedures into presenter-led training videos, with review steps and a version for every site and audience.

    Capabilities

    • Scripts generated from your procedures
    • Presenter-led video production
    • Review and approval before release
    • Versions per site and audience
    Read the case study

Enterprise operations were designed around people passing work to each other. We design them around the work getting done.

High Risers

Explore what agents could look like inside your company

A short conversation with the High Risers team to find the operational workflows where agents could make an immediate difference.

Frequently asked questions

Common questions from enterprise teams exploring agent deployment.

What happens during the discovery call?

A working session where we review how your operational workflows run today. From there we identify where an agent could realistically take over work, which systems it would need to connect to, and what a deployment timeline would look like.

How long does it take to deploy an agent?

The audit takes about four weeks. From there, most first deployments reach production within two to three months, depending on the complexity of the workflow and the systems involved.

What kinds of tasks can agents perform?

Agents monitor your operational systems, read incoming documents and data, trigger actions, route approvals, generate internal reports, and coordinate work across tools that used to need manual oversight.

Can agents work with our existing tools?

Yes. Agents integrate with the systems already running your operations, such as ERPs, CRMs, internal databases and data platforms, through their APIs and automation layers.

How much involvement is required from our team?

Your team provides context on the workflow and the systems involved. High Risers handles the design and deployment of the agent system and coordinates with your technical and operational stakeholders.

How do you ensure security and governance?

Agents operate within your existing system permissions and security policies. Access is controlled through the integrations, and every agent action is logged so activity can be monitored and audited.

Can agents be customised for our workflows?

Yes. Every deployment is designed around the specific workflows, systems and operating rules inside your organisation.

How does pricing work?

Engagements are structured around the complexity of the workflow, the systems involved and the scope of the deployment. Pricing is discussed after the discovery call, once we understand the operational requirements.

Schedule discovery

Deploy your first AI agent

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