AI-native operations

AI that serves people, not replaces them.

People come to us in crisis. They need answers in hours, not weeks. Our team is small. The cases are financially complex. Distress doesn't wait for paperwork.

AI lets us move at the speed the situation demands, while keeping human judgment at the centre of every decision.

45 min → <1 min

Assessment structuring time

100%

Human oversight on every decision

AI-to-participant direct communications

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Intake & triage

When someone reaches out, AI helps us process their situation quickly. A comprehensive financial assessment that would take 45 minutes to review manually is structured in under a minute. Priority flags, risk indicators, and recommended pathways are surfaced automatically.

→Structured financial assessment in under 60 seconds
→Automatic priority flags and risk indicators
→Recommended pathways surfaced for case manager review
→Our team reads a clean summary and makes the call

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Financial assessment

Our Guided Evaluation Model analyses income, expenses, debts, and circumstances against consistent criteria. It calculates serviceability, identifies risks, and presents options.

→Consistent criteria applied across every case
→Serviceability calculations and risk identification
→Options presented for case manager decision
→AI handles the arithmetic. Humans handle the person

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Operational infrastructure

We use AI across drafting, case reasoning, document generation, reporting, and internal workflows. We also use AI-powered development tools to build and maintain our systems, doing work that would normally require a larger technical team.

→Case reasoning and document generation
→Reporting and internal workflow automation
→AI-powered development tools for system maintenance
→Small charity operating at the speed of a much bigger organisation

What stays human.

→AI never makes a final funding decision. A person does.
→AI never communicates directly with participants. A person does.
→AI never overrides safety judgment. A person does.
→AI never accesses identifying information without controls.

We track agreement rates between AI recommendations and human decisions. When they diverge, we learn from it.

AI fluency training

We also teach it.

Many of the people we support have been displaced by the same economic shifts AI is accelerating. Our Rebuild pathway includes practical AI fluency training: how to use AI tools for job search, productivity, portfolio building, and creating new opportunities.

We don't just use AI internally. We put it in the hands of the people who need it most.

→Practical AI fluency for job search and productivity
→Portfolio building and opportunity creation
→Domain expertise as the multiplier, not the obstacle
→Built for people under pressure, not learning for learning's sake

Read: The Quiet Part →Read: From Prompting to Directing →

Our approach

Responsible deployment in a high-trust setting.

All data handling complies with Australian Privacy Principles. Participant information is encrypted, access-controlled, and never used for model training.

Augment, don't automate

AI makes our team faster and more consistent. It doesn't replace their judgment.

Human oversight on every decision

No disbursement, no support plan, no communication goes out without a person reviewing it.

Dignity in design

No one is reduced to a score. Context matters. Edge cases get human attention.

Bias monitoring

We audit outcomes regularly. If certain groups are being declined more often, we investigate and adjust.

From our founder
We built TEKVA's entire operational engine on AI. Intake triage, financial assessments, creditor scripts, case management. What would normally require a team of ten, we do with frontier AI and a laptop. The technology isn't the point. The people are. AI just lets us reach them faster.
Dave Diamond
Director & Operations Lead, TEKVA Limited

Want to know more?

See our impact, explore a partnership, or get in touch.

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What stays human.

→AI never makes a final funding decision. A person does.

→AI never communicates directly with participants. A person does.

→AI never overrides safety judgment. A person does.

→AI never accesses identifying information without controls.

We track agreement rates between AI recommendations and human decisions. When they diverge, we learn from it.

We also teach it.

We don't just use AI internally. We put it in the hands of the people who need it most.