Use-case selection
Where an LLM adds value and where simple rules are better.
Secure LLM features added to the software you already run.
ERPHUBs integrates large language models into existing apps for search, summarisation, drafting and classification, with prompt management, cost control and data privacy built in.
Adding a language model to an existing product means more than an API call: prompts, data access, cost control, latency and privacy all need design. We integrate models behind a thin, testable layer so you can switch providers and keep control of cost and data.
ERPHUBs integrates large language models into existing apps for search, summarisation, drafting and classification, with prompt management, cost control and data privacy built in.
Discuss your projectEach deliverable is scoped, reviewed with you and handed over with documentation.
Where an LLM adds value and where simple rules are better.
Reusable templates, structured outputs and retrieval.
Swap between models without rewriting your app.
PII masking and data-residency controls.
Caching, batching and budgets with alerts.
Regression tests on real examples for every release.
The bottleneck. Contracts, emails and tickets are hard to search.
How we design it. Embedding-based search and summaries inside your existing screens.
Target result: 60% typical ticket deflection
The bottleneck. LLM answers vary and break workflows.
How we design it. Structured outputs, validation and fallbacks.
Target result: <3s answer time target
The bottleneck. Usage grows without limits.
How we design it. Quotas, caching and routing smaller models for easy tasks.
Target result: 95%+ extraction accuracy goal
Every sector hits different walls. Here is what we see and how we design around it.
Bottleneck: Reviewing clauses takes days.
Our design: Clause extraction and risk flags with source highlighting.
Bottleneck: Agents read long histories.
Our design: One-click ticket summaries and suggested replies.
Bottleneck: Clinical notes take time.
Our design: Dictation-to-note drafting with clinician review.
Bottleneck: Documents arrive in many formats.
Our design: Extraction of shipment data from PDFs and emails.
Answers drawn from approved sources and shown with references.
Redaction, access rules and no training on your data by design.
Test sets and scorecards run before each release.
Approvals for sensitive actions and easy escalation.
A working pilot is usually ready in 4 to 8 weeks, followed by a measured rollout.
Clean, current documents speed delivery and raise accuracy.
Read-only answers are simpler than agents that change records.
Usage level affects model choice and cost.
Each language and channel adds testing.
A clear scope, timeline and price for well-defined work.
A named squad that works as part of your team month to month.
Ongoing fixes, updates and monitoring after launch.
Typical situations where clients bring us in, and what we design for each.
Retrieval over contracts, manuals and tickets with citations and permission checks.
Briefs, reports and email drafts inside the tools your team already uses.
Turn invoices, forms and emails into structured records with confidence scores.
Switch between OpenAI, Anthropic and open models without rewriting your app.
OpenAI, Anthropic and open models, selected by quality, cost and data rules.
Vector search and permission-aware retrieval over your documents.
Test sets, red-team checks and human review where it matters.
Connectors to CRM, helpdesk, ERP, WhatsApp and email.
We agree measurable targets up front and report against them.
Measured on your own test questions, not vendor benchmarks.
Share of requests resolved without an agent and time saved per case.
Token and infrastructure spend tracked against value delivered.
Rate of correct hand-offs and blocked unsafe outputs.
We design for your privacy needs, including private deployments where required.
Your own test questions and reviewer scores, agreed before build.
Guardrails, citations and human hand-off are built into the flow.
We compare options on accuracy, cost and compliance for your task.
Uptime, errors and performance watched, with fixes under agreed response times.
Dependencies, platforms and security patches kept current.
A monthly pool of hours for improvements, prioritised with you.
Documentation, recordings and sessions so your team stays independent.
We are provider-neutral and select by accuracy, cost, latency and data policy.
Yes, where models and policies allow, including private or self-hosted options.
Golden datasets, regression tests and human review before each release.
Cost depends on scope, integrations, compliance needs and the number of users or pages. After a short discovery we give a fixed or phased quote with clear milestones, so you can compare it with other options.
A working pilot is usually ready in 4 to 8 weeks, followed by a measured rollout.
We offer support retainers covering fixes, updates, monitoring and enhancements, plus a handover with documentation and training so your team is never locked in.
Share your goal and constraints. A senior consultant replies with questions, options and a scoped quote.
ERPHUBs delivers llm integration for Australia businesses with GST, AUD and local working hours in mind.
A Australia team plans the work around GST and AUD.
28th after each quarter: Super guarantee contributions; Each pay day: Single Touch Payroll reporting
Typical connections here: Peppol, Stripe, Square.
Mon-Fri 09:00-17:30 AEST. Typical first reply within 4 business hours.
Yes. The Australia team configures it with the Zoho Books Australia edition (GST, BAS), AUD and GST, and supports it Mon-Fri 09:00-17:30 AEST.
Zoho accounts for Australia use the Australia data centre (zoho.com.au). We confirm the data centre with you before any migration or integration starts.
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A certified Zoho consultant will reply with a tailored quote. Or call +1(650) 360-1358.