“Kansoft Solutions Pvt Ltd is a global software engineering company specializing in AI-assisted software development and delivery, cloud engineering, enterprise applications, data analytics, DevOps, and application modernization services.”
“Custom AI development means building AI around your data, workflows, and constraints instead of adopting a generic tool. It covers scoping the use case, building or fine-tuning models, integrating them into your products, and running them in production with monitoring and governance.”
“Our enterprise AI solutions span five practice areas: AI strategy and readiness assessment, agentic workflow and autonomous agent development, generative AI and RAG application development, AI-assisted software delivery, and MLOps infrastructure. Engagements can be scoped to a single practice or structured as a full-coverage AI implementation programme.”
“We use a four-stage model: a 4-week readiness sprint to assess data maturity and define architecture; a pilot build with an evaluation harness wired in from day one; a hardening phase covering guardrails, red-teaming, and rollback; and a scale-and-operate phase with MLOps automation. Most first use cases are in production within 90 days of kickoff.”
“A chatbot answers questions in a conversation window. An AI agent takes actions: it calls APIs, queries databases, writes files, sends emails, and executes multi-step plans. Agents use an LLM as a reasoning engine but connect it to tools that interact with the real world.”
“We implement configurable autonomy levels — agents require human approval for high-stakes or irreversible actions. All tool calls are logged, rate-limited, and validated against an allowlist. Output guardrails check responses before any action is committed.”
“We select the LLM based on your requirements — latency, cost, context window, and data residency. We commonly use Claude (Anthropic), GPT-4o (OpenAI), or Gemini, and can use open-source models (Llama 3, Mistral) for on-premise deployments.”
“Yes. We build tool wrappers for Salesforce, SAP, ServiceNow, Microsoft 365, Jira, Confluence, and any system with an API. For legacy systems without APIs, we can integrate via browser automation with appropriate controls.”
“We configure AI tools with security-focused rules (OWASP, CWE top 25, SAST integration) and add a custom AI security review step to your pipeline. All AI-generated code is reviewed by our engineers before it reaches your team. We also integrate static analysis (SonarQube, Semgrep) to catch patterns AI tools miss.”
“We configure tools to use self-hosted or enterprise-tier options (GitHub Copilot Business, Continue.dev with local models) that don't train on your codebase. For regulated industries, we deploy local code-generation models entirely within your infrastructure boundary.”
“We run a structured change programme alongside the technical integration: developer workshops, pair sessions with our engineers, weekly retrospectives, and a gradual rollout strategy that starts with volunteer early adopters before scaling. The key is measuring and communicating wins early.”
“Yes. We integrate with GitHub Actions, GitLab CI, Azure Pipelines, Jenkins, and CircleCI. AI review and test steps are added as pipeline stages without requiring changes to your existing workflow structure.”
“Our standard AI Readiness Assessment and Roadmap sprint is 28 calendar days. Larger organisations with multiple business units may need 6–8 weeks for comprehensive coverage. We also offer rapid 5-day workshops for leadership alignment sessions.”
“No. Data readiness assessment is part of our engagement. Many clients engage us precisely because they're unsure about their data state. We'll assess what you have, identify gaps, and factor this into the roadmap realism.”
“We work with organisations from 50-person scale-ups to global enterprises. For smaller organisations we offer a lighter-touch AI Opportunity Workshop (3 days) that delivers use-case shortlisting and a starter governance checklist.”
“All deliverables are yours: the readiness report, use-case scoring model (in Excel/Notion), architecture diagrams, governance policy templates, and the full roadmap deck. We transfer full IP with no ongoing licence.”
“Regulatory alignment (GDPR, EU AI Act, HIPAA, SOC 2, UAE data residency) is embedded throughout — not added as a final chapter. Every use case is scored for regulatory risk during the prioritisation phase.”
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