Product Engineering Home > Mobile App Development

Turn Your Ticket History and Knowledge Base into an AI-Powered Resolution Engine

Most AI chatbots stop at answering questions. Scalex builds AI agents that securely connect to your knowledge base, ticketing systems, CRMs, and enterprise applications to automatically resolve repetitive Tier-1 support requests while seamlessly handing complex issues to your support team.

✓ Reduce repetitive Tier-1 support workload
✓ Improve first-response time
✓ Works with your existing support stack
✓ Human review for complex issues

See where autonomous resolution pays off in your ticket data

The Core Problem

Beyond the Chatbot: Solving Support as a Data Engineering Problem

Most customer support and internal IT desk automation fails because tools are treated as mere conversational layers. When a complex edge case arrives, a basic LLM wrapper hallucinates or drops the ball.

At Scalex, we approach resolution through the lens of robust data architecture. True automation requires an intelligent system capable of securely navigating your company’s internal logic, verifying user states via APIs, and executing deterministic workflows safely.

The Legacy Way

Rigid helpdesk macros and brittle, rules-based trees that frustrate users, fail on minor variations, and ultimately spike engineering team overhead.

The Scalex Agentic Way

Autonomous software agents that interpret unstructured domain queries, securely retrieve contextual data via advanced RAG pipelines, and safely execute backend transactions.

See how the RAG pipelines and guardrails wire into your stack.

Core Engineering Capabilities

Built for complex, multi-system ecosystems.

We design, build, and deploy custom agentic workflows that adapt to your existing infrastructure — without forcing you to re-engineer your stack.

Enterprise Knowledge Synthesis & Extraction

We build secure data pipelines that ingest disparate, unstructured data silos — internal Confluence pages, legacy Slack channels, historical resolved-ticket logs, and dense PDF manuals. This data is cleaned, chunked, and embedded into high-performance vector databases optimized with custom rerankers for pinpoint accuracy.

Action-Oriented Multi-Agent Orchestration

Our agents don't just draft static text responses. When a user submits an issue, the agent coordinates across specialized micro-agents to safely trigger internal API calls, fetch live system data, validate client records, and complete transactional workflows end to end.

Learns the playbook: Upload past tickets & docs — organized for instant lookup, like a new hire reading the archives in minutes.

Ticket comes in: Customer opens a ticket in your existing tool — ScalexOps AI is pinged instantly, no manual assignment.

Drafts & self-rates: Writes an answer, grounded in what it found — and scores how confident it actually is.

Retrieves context: Pulls the most relevant past resolutions and docs for this specific issue.

Routes the ticket: Confident? It replies and tags resolved. Unsure? It hands off with a draft answer attached — never a guess in between.

Logs everything: Every decision and action recorded, end to end — for QA and compliance review.

Semantic Guardrails & Deterministic Handoffs

Security and brand protection are hardcoded into our architecture. Every agent pipeline is wrapped in real-time semantic guardrail layers that monitor inputs for malicious prompts or PII leaks. If a query hits a predefined boundary or edge case, the system executes a seamless, deterministic handoff to a human agent — accompanied by a complete summary brief.

Enterprise Security & Deployment

Your Data. Your Cloud. Complete Perimeter Control.

High-ticket platforms cannot afford data leakage. Scalex specializes in private cloud deployments designed to meet strict regulatory standards.

Progressive Web Apps

We offer Progressive Web Apps (PWAs) that provide fast loading times and high reliability without needing installation. Our PWAs deliver a native-like user interface and experience, complete with features like notifications.

Mobile App Testing and QA

Ensuring the quality, performance, security, and usability of mobile applications through various testing methods, including functional testing, performance testing, usability testing, security testing, and compatibility testing across different devices and OS versions.

MobilityOps

We use agile methods to quickly develop and deploy apps. Automation helps us make the process easy, so you can reach your audience fast. Our team handles app deployments on Google Play and the Apple App Store and provides automated testing with CI/CD for smooth performance.

Private VPC Deployment

We deploy your resolution agents completely within your own corporate cloud perimeter — no data leaves your control.

Open-Weight Model Optimization

By fine-tuning state-of-the-art open-weight models (such as Llama or Mistral), your corporate knowledge base and customer interactions are never exposed to public third-party LLM training sets.

SOC 2 & Compliance Ready

Built from day one with data minimization, encryption-at-rest, and explicit audit logging to align with your rigorous compliance frameworks.

Deploy resolution agents inside your own private cloud perimeter.

Built for Regulated, High-Stakes Industries.

Logistics & Supply Chain

Automate the triage of invoice discrepancies. Agents extract unstructured data from multi-page shipping bills, cross-verify line items against live ERP ledgers, and automatically update order statuses to resolve customs queries.

FinTech & InsurTech

Securely handle transaction-reconciliation requests and policy inquiries. Agents navigate client-record databases safely inside isolated environments to cross-reference ledger balances, flag anomalies, and process pre-approved Tier-1 claim assessments.

Healthcare Technology

Manage application-access provisioning and medical-software support. Reduce clinical-staff downtime with secure, role-based agents that handle internal IAM tickets and system-status requests instantly.

The Scalex Engagement Model

Production Pipelines, Not Endless Pilots

We don't sell open-ended, multi-month exploratory consulting contracts that result in a slide deck. Scalex works as an elite engineering extension of your team to deliver functional software.

Weeks 1 – 2

Systems Audit & Scoping

We map your data silos, locate your ticketing bottlenecks, and design the target agent topology.

Weeks 3 – 4

Pipeline Engineering & RAG Setup

We build the data-integration pipelines, structure the vector stores, and set up the private model environment.

Weeks 5 – 6

Guardrail Calibration & Go-Live

We stress-test the agent against historical ticket edge cases, configure human-in-the-loop handoffs, and launch smoothly into production.

Frequently Asked Questions

If you can't find what you're looking for, please reach out to our team for further assistance.

Data privacy is a core architectural pillar at Scalex. We do not use public API wrappers that retain data for model training. Instead, we deploy the entire resolution agent pipeline inside your own secure cloud perimeter (AWS, Azure, or GCP private VPC). By utilizing fine-tuned, state-of-the-art open-weight models (such as Llama 3 or Mistral) hosted on your infrastructure, your data never leaves your boundary, ensuring absolute compliance with SOC 2, ISO, and sector-specific privacy regulations.

Yes, that is exactly why a standard chatbot fails and why our data engineering approach succeeds. Scalex builds custom data ingestion pipelines that aggregate, sanitize, and chunk unstructured data from multiple silos—including legacy Jira tickets, Zendesk logs, Confluence wikis, and internal Slack threads. We feed this into an optimized vector database with advanced semantic re-rankers, meaning the system understands context and operational intent even if your historic documentation is imperfect.

The system operates under strict, deterministic safety guardrails. If a ticket falls outside defined policy boundaries, asks for unauthorized actions, or exhibits high ambiguity, the AI agent executes an immediate, seamless handoff to a human engineer or support specialist. The human agent receives the ticket alongside a concise, pre-written summary brief containing the conversation context and internal reference links, ensuring no loss in resolution speed.

Unlike basic informational bots, Scalex agents are action-oriented. We design secure, authenticated middleware layers that connect the AI agent orchestration to your internal APIs and enterprise systems (such as Salesforce, SAP, or proprietary databases). Every transactional capability requires strict token validation and operates under explicit role-based access controls (RBAC), meaning the agent can only perform pre-approved read/write actions.

We focus on rapid production delivery rather than prolonged exploratory pilots. A typical end-to-end implementation takes 5 to 6 weeks. This includes a 2-week deep systems audit and scoping phase, 4 weeks of pipeline engineering, advanced RAG setup, and API integration, followed by 2 weeks of guardrail calibration, stress-testing against historical edge cases, and a smooth live launch