Integration Advisory

Integrate Generative AI
Into What Matters

Generative AI is not a feature you bolt on. It is a capability that reshapes workflows, products, and customer experiences β€” but only when integrated thoughtfully. We advise teams on where, how, and whether to embed GenAI into their systems.

35+ GenAI integrations designed and reviewed
4.5Γ— Average productivity gain in integrated workflows
< 2% Hallucination rate in our production designs
What You Get

Integration Deliverables

Everything your team needs to integrate GenAI with confidence.

Integration Opportunity Map

A prioritised catalogue of workflows and product features where generative AI delivers measurable value.

Integration Architecture

Technical design for each integration point covering API patterns, prompt management, caching, and fallback strategies.

Model Selection Report

Comparative evaluation of LLMs against your quality, latency, cost, and compliance requirements with clear recommendations.

Prompt Engineering Playbook

Documented prompt templates, few-shot examples, and system instructions optimised for your specific use cases.

Safety & Guardrail Design

Content filtering, output validation, toxicity detection, and human-in-the-loop escalation paths.

Monitoring & Evaluation Plan

Quality metrics, cost tracking dashboards, and automated regression testing for every GenAI integration.

Our Process

Our Integration Advisory Process

1

Workflow & Product Audit

We map your current workflows and product features to identify where generative AI creates genuine value versus where it adds noise.

2

Proof-of-Concept Design

For the top opportunities, we design lightweight PoCs with clear success criteria and evaluation metrics.

3

Architecture & Pattern Design

We design the integration architecture covering prompt management, API orchestration, caching, error handling, and cost controls.

4

Safety & Governance Review

Every integration is reviewed for hallucination risk, bias, data privacy, and regulatory implications before greenlight.

5

Implementation Blueprint

Detailed specs, prompt libraries, and engineering tickets your team can pick up immediately.

Ready to Start?

GenAI Should Solve Problems, Not Create Them

Let us help you integrate generative AI where it genuinely matters β€” with proper guardrails and measurable outcomes.

Schedule Free Consultation
Who This Is For

Who This Is For

Product and engineering teams embedding GenAI into existing systems.

FinTech Product Teams

Integrate GenAI into customer service, document processing, and financial report generation with compliance guardrails.

SaaS Product Leaders

Add AI-powered features like smart drafting, summarisation, and recommendations to your platform without disrupting the core product.

E-Commerce Teams

Deploy generative AI for product descriptions, customer support automation, and personalised shopping assistants.

Media & Content Platforms

Integrate AI into editorial workflows for drafting, translation, summarisation, and content moderation.

Why OpenMalo

Why OpenMalo for GenAI Integration

We have integrated generative AI into production systems β€” not just built demos.

Production-Grade Thinking
We design for edge cases, failures, and scale from the start β€” not just the happy path demo.
Cost-Aware Integration
Token costs, caching strategies, and model routing are designed into every integration to keep unit economics viable.
Safety by Default
Guardrails, content filtering, and human escalation paths are non-negotiable in every integration we design.
Evaluation Rigour
We build automated evaluation pipelines so you can measure quality continuously, not just at launch.
Multi-Model Strategy
We design for model portability so you are not locked into a single provider when better options emerge.
Speed Without Shortcuts
Most integration designs are delivered in three to five weeks with implementation-ready documentation.
Get Started

Explore GenAI Integration for Your Product

Describe your product and the workflows you want to enhance. We will assess feasibility and recommend an approach.

Free integration feasibility call
Prioritised opportunity map within two weeks
Model-agnostic recommendations
Safety and guardrail design included
Implementation-ready architecture documents
0/2000
Featured Case Study

GenAI Integration Reduces Report Generation by 85%

FinTech Case Study

Wealth Management Firm Automates Client Reports

A wealth management firm was spending 15 hours per week manually generating client portfolio reports. They wanted to use GenAI but were concerned about accuracy and compliance.

85%
Reduction in report generation time
99.4%
Factual accuracy rate in generated reports
15 hr
Weekly analyst time freed for higher-value work
The Challenge

The Challenge

Manual report generation was slow, error-prone, and consuming senior analyst capacity that should be spent on advisory.

Each client report took 45 minutes to compile and write manually
Analysts were copy-pasting data between three different systems
Previous automation attempt with templates was too rigid for personalised commentary
Compliance required human review of any AI-generated client-facing content

Our Approach: We designed a GenAI pipeline that pulls portfolio data from their systems, generates draft reports with personalised commentary, and routes them through a compliance review workflow. A human-in-the-loop step ensures every report is reviewed before delivery. Generation time dropped from 45 minutes to 7 minutes per report.

FAQ

Frequently Asked Questions

It depends on your accuracy, latency, cost, and compliance requirements. We evaluate multiple models against your specific use cases and recommend the best fit β€” often a multi-model strategy.