Markovate’s AI-Assisted SDLC – Software Delivery Reimagined
Plan, Build, and deploy software applications faster with our AI-driven SDLC service. We combine specialized AI agents, automation frameworks, and enterprise guardrails into one streamlined development workflow. From BRD creation to code and test generation, every phase is automated to eliminate handoffs, reduce risk, and deliver high-quality outcomes.
How We Decode Requirements, and Automate Every
Software Development Lifecycle Phase
Eliminate fragmented toolchains and reduce reliance on manual handoffs. From auto-populated BRDs to AI-drafted user stories, from code scaffolding to test case generation and SecOps deployments, our squad executes each SDLC phase in parallel—seamlessly orchestrating work so you ship features faster with less manual effort.
Security, privacy and compliance are built in, with every change automatically scanned for vulnerabilities, coding standards, and policy checks. Our agents enforce your naming conventions, access controls, and audit requirements before any code goes live—ensuring velocity never compromises governance.
AI-Driven SDLC Workflow – One Pipeline. Multiple AI Agents. Zero Chaos.
Here’s how we orchestrate development from brief to production with modular, cooperating AI agents.
Step 1: Ideation & Consulting
We assess your workflows, identify bottlenecks, and determine the best AI automation opportunities to maximize efficiency and ROI.
Step 2: Building & Testing
We develop AI-driven automation using custom models, APIs, AI automation tools, and integrations, ensuring seamless functionality through rigorous testing.
Step 3: Debugging
We fine-tune, resolve errors, and optimize performance to ensure accuracy, reliability, and business impact.
Step 4: Error Handling & Optimization
We monitor performance, resolve issues, and continuously enhance automation to align with your business growth.
Step 1: BRD Generation
We gather high‑level inputs—from stakeholder emails to Jira tickets—and, together with AI tools, auto‑populate your BRD template. In minutes, you receive a polished requirements document complete with objectives, acceptance criteria, and audit‑ready traceability.
Step 2: Ideation & Requirement Analysis
Our AI SDLC squad reviews the draft BRD alongside AI‑powered insights, surfacing hidden constraints, performance targets, and compliance checkpoints. This hybrid review produces a refined blueprint that zeroes in on what truly matters.
Step 3: User Story Formulation
Leveraging our product‑focused methodology and AI‑assisted drafting, we convert requirements into clear, outcome‑oriented user stories. Each story is prioritized by business impact and linked back to its origin, ready for sprint planning.
Step 4: Collaborative Code Generation
Our engineering team partners with AI‑driven editors to scaffold front‑end and back‑end modules in real time. Built‑in linting and on‑the‑fly fixes catch trivial errors as you code—so initial pull requests arrive cleaner and leaner.
Step 5: Pull Request Management & Quality Gates
We configure every PR with contextual summaries, linked requirements, and policy checks. Automated scans enforce your security, style, and compliance rules before a human ever reviews—accelerating approvals without compromising standards.
Step 6: Automated Testing & Validation
Our QA experts oversee AI‑generated unit tests and end‑to‑end suites, executing them across your environments. Test results integrate directly into your CI system and issue tracker, keeping feedback loops tight and iterations rapid.
Step 7: Secure Deployment & AI Monitoring
Our DevOps team deploys through scripted SecOps pipelines, instrumented with AI‑monitored dashboards. Predefined rollback points and automated alerting ensure every release is both fast and fail‑safe, backed by 24/7 oversight.
Markovate’s AI SDLC Squad: Role-Specific AI Experts
Our AI SDLC squad combines deep technical expertise with handpicked AI tools optimized for each role — scaling speed without compromising craft.
Achieve High-Impact Software Engineering Outcomes
with AI-Driven SDLC
Markovate’s AI-Led SDLC unlocks speed, clarity, and confidence across the entire software development lifecycle—without compromising on quality, compliance, or control.
Parallelized execution across requirements, coding, testing, and deployment compresses traditional sprint cycles—delivering production‑ready software features in hours.
AI pre‑validates against your style guides, security policies, and performance targets, then expert engineers review every change to uphold enterprise‑grade standards.
Interactive dashboards surface code commits, test outcomes, and deployment metrics in real time—keeping your team informed of progress, risks, and next actions.
Automating routine tasks lets your engineers focus on strategic work, dramatically cutting resource spend and delivering measurable ROI from day one.
How We Integrate & Automate Your Toolchain
Our AI agents turn siloed tools into a cohesive, self-driving delivery platform by listening for events, enriching context, and triggering actions across your stack. We employ AI agents that send context-rich Slack updates for PRs, tests, and deployments. They auto-manage Jira issues and generate/version Confluence docs linked to Jira and GitHub. Pull requests get AI-driven risk scores and security checks, while CI/CD pipelines are configured and run automatically for reliable, continuous delivery.
Solutions We’ve Engineered with Our AI-Powered SDLC Approach
– AI Blueprint Analysis
An AI Solution for Automating Contruction Blueprint Analysis
For Civil engineers, this is an AI solution to automate highlighting, labeling, and segmentation of construction drawings. With Zero Human involvement, this solution can accelerate blueprint analysis by over 80% each time.
- Increased Operational Efficiency
- Reduced manual design efforts
- Lower Project Completion Cost
– AI Medical Coding
Automated Medical Claim Processing
Medical documents and reports are automatically processed to extract critical clinical information—streamlining cost mapping and enabling faster, more accurate claim processing decisions.
- 40% Faster Claim Processing
- 20% Reduction in Manual Errors
- Lower Administrative & Operational Costs
- AI-Powered Document Processing
– ERP AI Agent
AI-Powered Order Management
We implemented an AI agent to automate order placement, real-time inventory tracking, and routine queries, achieving 95% order accuracy and significantly reducing manual workloads and response times.
- Real-time Order Tracking
- 95% Order Accuracy Pricing & Inventory Updates
- Automated Repetitive Operational Tasks
– AI Call Management
AI Voice Agent for automated call handling
The AI voice agent can handle high volumes of customer calls with 24/7 availability and respond to common queries. It can route complex issues to the right teams and ensure consistent, professional communication for an improved customer experience.
- Scalable Call Handling
- Delivers accurate, policy-aligned responses
- Analyzes call patterns and customer behavior
TESTIMONIAL
What our clients say:
FAQs
About AI Software Development Lifecycle
What kinds of teams benefit the most from AI-led SDLC?
Cross-functional product teams—especially those working on enterprise systems with high change velocity, frequent feature rollouts, or compliance needs—see the biggest gains. Our AI SDLC approach is built to support scale, speed, and governance simultaneously.
Will this disrupt our current development process?
No. The squad works alongside your existing developers, tools, and workflows. We integrate with your pipelines, ticketing systems, and approval flows to accelerate delivery—not reinvent it.
How do you handle domain-specific or legacy systems?
Our onboarding process includes deep contextual mapping—understanding your domain, data models, and architecture. We fine-tune agents with your internal standards and legacy constraints to ensure output is aligned from day one.
How do you ensure code quality and security?
Every line of code is validated through static analysis, policy-based linting, and AI-driven risk scoring before it hits review. Our pipelines include SAST/DAST scanning, audit trails, and rollback automation—ensuring every release meets enterprise-grade standards.
Can we scale the squad up or down based on our roadmap?
Yes. You can flex the squad size and intensity based on sprint goals, backlog size, or release milestones. Whether it’s a multi-feature rollout or a focused refactor, we match your velocity.
What kind of ROI should we expect?
Clients typically see 5–10x faster delivery for standard feature work, up to 90% reduction in manual QA, and over 2500% ROI in the first 1–2 sprints—measured by saved hours, fewer bugs, and faster time to market.
OUR BLOGS
Point of view
Our thought leadership initiative – an exclusive platform for sharing our insights and technological perspectives.
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