What we automate
We build AI for software systems that integrate with the operational reality of Australian software and technology businesses. Common workflows we automate end-to-end:
- Customer support automation with product-context-aware agents
- Internal developer productivity tools (code review, doc generation)
- Customer-facing AI feature development
- Sales and CS workflow automation
- Product analytics and event ingestion
- Incident response and on-call automation
- Pricing and packaging experimentation tooling
Built for the realities of software and technology
Product teams want to move fast; AI features have to ship without bloating engineering org.
Customer-facing AI requires careful evaluation, guardrails, and rollback paths.
Internal tooling for engineers is sensitive to quality and developer ergonomics.
Vendor lock-in to a single LLM provider is a real strategic risk.
Why work with us on AI for software
AI for software companies is our home turf. We are software builders and AI builders, with technical depth across model providers, frameworks, and the kind of product engineering you actually need to ship.
Where most AI in software technology goes wrong
Most software-technology AI projects get framed against the wrong success metric. The fragmented patterns: AI deployed against customer support without integration to the engineering tracker, sales AI without integration to the customer success and product analytics layers, "AI for developer productivity" that doesn't measure actual cycle time or defect rate, internal AI workspaces that surface code but not the customer context around that code, and AI agents deployed in isolation from the on-call rotation and incident response process. Software businesses are the most receptive vertical to AI adoption, which means they're also the most likely to deploy fragmented tooling fast, then live with the consequences for years.
Systems we integrate against
Software-technology AI engagements typically integrate against GitHub, GitLab, Bitbucket, Linear, Jira, Asana, Notion, Confluence, ClickUp, Slack, Microsoft Teams, Intercom, Zendesk, Front, HubSpot, Salesforce, Stripe, ChartMogul, Mixpanel, Amplitude, Segment, PostHog, Snowflake, BigQuery, PagerDuty, Opsgenie, Sentry, Datadog, AWS/GCP/Azure billing APIs, and the company's own product database. Most mid-market AU software businesses run a substantial subset of this stack with strong API surfaces. Integration is rarely the blocker. Defining the right operational outcome is.
If your stack isn't listed above, reach out anyway. The systems vary by industry but the integration patterns don't. We can usually work with whatever you're running. Tell us your stack.
Regulatory and compliance landscape
Software businesses in AU operate under the Privacy Act and APP for customer data handling, Australian Consumer Law for product representations, the Spam Act for marketing communications, and sector-specific obligations where the software touches regulated industries (APRA-licensed customers, healthcare, government). SOC 2, ISO 27001, and increasingly the Australian Voluntary AI Safety Standard apply where customers require them. CPS 234 reach-through applies if your software is a material supplier to APRA-regulated entities. We design AI features in customer-facing software with explicit attention to these obligations, particularly where the AI affects customer outcomes or surfaces data the customer expects to be private.
Operational outcomes we move
Defensible outcomes we have moved on software engagements: support ticket resolution time reduced through agent-assisted triage and grounded retrieval over the existing knowledge base; sales cycle compression through pre-call account intelligence pulled across CRM, product analytics, and customer success notes; engineering cycle time reduced through PR review automation and incident triage agents; customer onboarding time-to-value reduced through agent-guided activation flows; product-feedback synthesis accelerated through cross-channel summarisation. The metric is operational compression in the things that actually drive ARR and retention.
Common deployment patterns
Common deployment patterns for AU software businesses: agent-assisted customer support deployed at the support team's existing surface (Zendesk, Intercom, Front), with retrieval grounded in the firm's documentation and historical resolution patterns; sales account-intelligence agents that synthesise across CRM, product usage, and customer success activity; internal AI workspace (Bedstone OS-style) connecting engineering tracker, customer feedback, support tickets, and product analytics for executive-level operational decisions; PR-review and incident-triage agents inside the engineering workflow.
Related Bedstone services
Software businesses typically pair this work with custom software development, AI agents and automation, and cloud infrastructure that runs reliably. Or look at Bedstone OS if you want an internal AI workspace your team uses for daily operational work.
How we engage
Five-step delivery, scoped to fit. Audit, scope sprint, proof of concept, verification, rollout. Wrapped as a fixed-scope sprint, monthly retainer, fractional engagement, or one-off audit. See services for the full process and commercial structures.
Common questions about AI for software
Do you compete with our internal engineering team?
No. We complement it. The right engagement is one where we accelerate the team on a defined scope (an AI feature, a developer productivity tool, an internal platform) and hand it back fully documented.
Are you LLM-vendor-locked?
No. We are model-agnostic and routinely build for OpenAI, Anthropic, Google, plus open-weight models where they earn their place. Vendor strategy is part of the audit conversation.
Can you ship a customer-facing AI feature in our product?
Yes. This is one of our most common engagement types, including the evaluation, guardrail, and rollback infrastructure required to do it safely.
Is this eligible for R&D Tax Incentive?
Most agentic AI and novel feature development qualifies. We document sprints to a standard your tax specialist can file with confidence.
Across Australia
We work with software and technology operators across the country. See city-specific context: AI agency Australia, Brisbane, Sydney, Melbourne, Perth.