Assist agents—don’t surprise them
We prioritize drafts and macros your team can edit in one click, with guardrails on tone, refunds, and policy-sensitive topics. Automation expands only where accuracy is proven.
24/7 intelligence, human quality
Augment agents with summaries, suggested replies, and safe automation—while keeping your brand voice and escalation paths intact.
AI & AutomationOur approach
We prioritize drafts and macros your team can edit in one click, with guardrails on tone, refunds, and policy-sensitive topics. Automation expands only where accuracy is proven.
Deflection, first-contact resolution, handle time, and CSAT move together. We instrument cohorts so you see which intents are ready to automate and which need knowledge updates.
Core capabilities
routing & summaries
Auto-routing, summarization, and priority hints help agents start each ticket with context instead of archaeology.
reviewed send
Drafts respect macros, tone, and policy-sensitive topics—with one-click send only where accuracy is proven.
deflection paths
Deflection flows surface knowledge gaps so content teams know which articles to write or fix next.
human feedback loops
Human feedback on AI output feeds scorecards before automation expands to higher-risk intents.
Mission & Vision
Offerings
Cluster real tickets to see which intents are ready to assist, automate, or need new articles.
Drafts your agents edit in one click—with tone and policy guardrails on sensitive topics.
Deflection paths plus signals on which help content to write or fix next.
Meet agents in their existing console—no duplicate queue to learn.
Sample AI-assisted replies and track accuracy before expanding automation.
Masking, redaction, and data lifecycle aligned to your privacy program.
Deflection, FCR, handle time, and CSAT tied to cohorts—not vanity AI scores.
Enablement so frontline teams trust and adopt assistive features quickly.
Growing Our Business
Before we scope a sprint, clients ask how we price work, whether we can extend Shopify or AI in production, and what happens after launch. These are the questions we answer most often in discovery calls with merchants, startups, and enterprise teams.
Every answer below reflects how Digiware actually engages—fixed discovery, milestone delivery, and written ownership for engineering, compliance, and post-launch support.
Custom software development cost depends on scope, integrations, compliance requirements, and how much discovery is already complete. Digiware Solutions typically starts with a fixed discovery phase, then milestone-based delivery so you see budget, timeline, and technical approach before the full build. We provide transparent estimates for web apps, SaaS platforms, AI features, and Shopify extensions—priced to outcomes, not open-ended hourly burn.
Yes. Our team regularly joins brownfield products—reviewing architecture, automated tests, CI/CD, and security before shipping to production. We extend React, Next.js, Node.js, Python, .NET, and cloud-native codebases, documenting integration points so your in-house engineers retain ownership. Whether you need a feature sprint, performance optimization, or legacy modernization, we align with your repository and release process.
Yes. Digiware Solutions is a Shopify app development company building public App Store listings and private merchant apps—including checkout extensions, admin workflows, multistore catalog sync, AI product recommendations, and SEO tooling. We handle Shopify API compliance, listing assets, merchant onboarding, and post-launch updates. Browse our live Shopify apps for production examples.
Yes. We deliver custom AI development: agentic workflows, RAG assistants, computer vision for retail and security, voice agents, and AI customer support—with evaluation harnesses, observability, and human-in-the-loop controls. We document data flows, retention, and model boundaries before production traffic, aligned with your privacy and compliance policies.
Digiware Solutions pairs senior engineers in Dallas and Lahore with transparent delivery—so your roadmap stays measurable from discovery through production.
