LLM Integration
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.
Predictable output across releases
Lower per-request spend
Safer use of external models
Why LLM Integration Needs a Specialist Approach
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 projectWhat Is Included in LLM Integration
Each deliverable is scoped, reviewed with you and handed over with documentation.
Use-case selection
Where an LLM adds value and where simple rules are better.
Prompt and context design
Reusable templates, structured outputs and retrieval.
Provider abstraction
Swap between models without rewriting your app.
Privacy and redaction
PII masking and data-residency controls.
Cost and latency controls
Caching, batching and budgets with alerts.
Quality evaluation
Regression tests on real examples for every release.
Where LLM Integration Projects Get Stuck, and How We Design Around It
Unstructured data
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
Unpredictable output
The bottleneck. LLM answers vary and break workflows.
How we design it. Structured outputs, validation and fallbacks.
Target result: <3s answer time target
Runaway cost
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
LLM Integration: Bottlenecks We Solve, Industry by Industry
Every sector hits different walls. Here is what we see and how we design around it.
Legal and compliance
Bottleneck: Reviewing clauses takes days.
Our design: Clause extraction and risk flags with source highlighting.
Customer support
Bottleneck: Agents read long histories.
Our design: One-click ticket summaries and suggested replies.
Healthcare
Bottleneck: Clinical notes take time.
Our design: Dictation-to-note drafting with clinician review.
Logistics
Bottleneck: Documents arrive in many formats.
Our design: Extraction of shipment data from PDFs and emails.
A Five-Step Delivery Path
- 1DiscoverUse case, data sources and risk rules defined.
- 2DesignRetrieval, prompts and guardrails designed.
- 3BuildEvaluated against real test questions.
- 4LaunchPilot group, human review and feedback loop.
- 5SupportDrift checks, cost tracking and tuning.
Quality, Security and Compliance in LLM Integration
Grounding and citations
Answers drawn from approved sources and shown with references.
Privacy and data control
Redaction, access rules and no training on your data by design.
Evaluation
Test sets and scorecards run before each release.
Human oversight
Approvals for sensitive actions and easy escalation.
What Affects Timeline and Cost in LLM Integration
A working pilot is usually ready in 4 to 8 weeks, followed by a measured rollout.
Data readiness
Clean, current documents speed delivery and raise accuracy.
Actions allowed
Read-only answers are simpler than agents that change records.
Volume and latency
Usage level affects model choice and cost.
Languages and channels
Each language and channel adds testing.
Ways to Work With ERPHUBs
Fixed-scope project
A clear scope, timeline and price for well-defined work.
Dedicated team
A named squad that works as part of your team month to month.
Support retainer
Ongoing fixes, updates and monitoring after launch.
Where LLM Integration Delivers the Most Value
Typical situations where clients bring us in, and what we design for each.
Search and Q&A over documents
Retrieval over contracts, manuals and tickets with citations and permission checks.
Content and summarisation
Briefs, reports and email drafts inside the tools your team already uses.
Data extraction
Turn invoices, forms and emails into structured records with confidence scores.
Provider flexibility
Switch between OpenAI, Anthropic and open models without rewriting your app.
How We Build LLM Integration
Models and providers
OpenAI, Anthropic and open models, selected by quality, cost and data rules.
Retrieval and data
Vector search and permission-aware retrieval over your documents.
Guardrails and evaluation
Test sets, red-team checks and human review where it matters.
Integration layer
Connectors to CRM, helpdesk, ERP, WhatsApp and email.
How We Measure LLM Integration Results
We agree measurable targets up front and report against them.
Answer accuracy
Measured on your own test questions, not vendor benchmarks.
Deflection and handling time
Share of requests resolved without an agent and time saved per case.
Cost per task
Token and infrastructure spend tracked against value delivered.
Safety and escalation
Rate of correct hand-offs and blocked unsafe outputs.
Questions to Settle Before Starting LLM Integration
Where does our data go?
We design for your privacy needs, including private deployments where required.
How do we measure quality?
Your own test questions and reviewer scores, agreed before build.
What happens when the AI is wrong?
Guardrails, citations and human hand-off are built into the flow.
Which model should we use?
We compare options on accuracy, cost and compliance for your task.
Support, Maintenance and Handover
Monitoring and fixes
Uptime, errors and performance watched, with fixes under agreed response times.
Updates and security
Dependencies, platforms and security patches kept current.
Enhancements
A monthly pool of hours for improvements, prioritised with you.
Training and handover
Documentation, recordings and sessions so your team stays independent.
Connected to the Zoho Apps You Already Use
LLM Integration, Answered
Which LLM providers do you use?
We are provider-neutral and select by accuracy, cost, latency and data policy.
Can it run in our private cloud?
Yes, where models and policies allow, including private or self-hosted options.
How do you test quality?
Golden datasets, regression tests and human review before each release.
How much does LLM Integration cost?
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.
How long does LLM Integration take?
A working pilot is usually ready in 4 to 8 weeks, followed by a measured rollout.
What support do you provide after LLM Integration goes live?
We offer support retainers covering fixes, updates, monitoring and enhancements, plus a handover with documentation and training so your team is never locked in.
Tell us about your LLM Integration project
Share your goal and constraints. A senior consultant replies with questions, options and a scoped quote.
Talk to a certified Zoho expert
Share your details and an expert will call you, usually within working hours the same day.
- Free, no-obligation consultation
- Certified Zoho ERP & CRM professionals
- India, UAE & USA coverage
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