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Agent-led AI SDLC delivery is our operating model: ten specialized delivery agents compress discovery, documentation, architecture, lineage mapping, and test design across the product lifecycle. Partner engineers own the 20–30% of work that requires human judgement: architecture, production decisions, and sign-off. It is a structured framework orchestrated across the SDLC, not a prompt library or ad hoc Copilot usage.

Partner engineers embed inside your organization as senior team members, not a remote delivery center. They share OKRs, attend standups, and carry full business context. Domain-matched to your stack, they own architecture and production outcomes. That accountability structure is why 99% of clients renew across multi-year engagements.

Delivery agents are the ten specialized tools in our engagement framework, each focused on a phase of the SDLC, from requirements and codebase context to test design and data lineage. ThinkCore is our one commercial product: multi-agent conversational analytics on enterprise data, where every answer cites its source. Agents accelerate how we deliver; ThinkCore is what you can buy and run in production.

Yes. We deliver with SOC 2 Type II, ISO 27001, and HIPAA-aware patterns from sprint one. Delivery agents produce structured, audit-friendly artifacts; partner engineers own governance and production sign-off. We have shipped across healthcare, finance, manufacturing, and other regulated environments over 13+ years.

We are a strong fit when your roadmap needs predictable delivery (custom software, modernization, data platforms, or production AI) and you want embedded senior engineers, not generic staffing. Mid-market and enterprise teams with slipping roadmaps, legacy debt, or AI initiatives that must reach production are where we do our best work. Book a free working session and we will tell you honestly if we are not the right partner.

Intronsoft was founded in 2016 and is headquartered in Eastvale, California, with an engineering center in Madurai, India. We serve clients across North America and internationally through forward-deployed partner engineers.

We work with enterprises, mid-market companies, and ambitious founders across fintech, healthtech, automotive, manufacturing, SaaS, and other industries where software is a competitive advantage.

A senior mentor owns the engagement standard, architecture guardrails, and client trust. They develop two forward-deployed leaders who embed with your engineers in standups and production decisions, not from a remote delivery center.

Thirteen years in production delivery, 120+ projects shipped, and 95% of new clients from referrals. Most partnerships run two to three years on average because continuity, senior talent, and predictable outcomes compound over time.

Traditional vendors optimize for headcount and billable hours. We optimize for deployed outcomes: partner engineers embed inside your organization, share context, and own architecture and production sign-off. Delivery agents compress discovery so senior time goes to judgement work, not documentation tax. That is why 95% of new clients come from referrals and 99% renew across multi-year engagements.

Your team keeps product ownership and priorities. Our delivery agents produce structured artifacts across requirements, codebase context, architecture options, lineage, and test design before and during sprints. Partner engineers interpret those outputs, make production decisions, and pair with your people at every gate. You get faster discovery without giving up architectural control.

Continuity compounds. Partner engineers retain business and technical context, so roadmap changes do not reset the team. The agent-led framework keeps discovery compressed as the product evolves. Clients stay because delivery stays predictable, senior talent stays embedded, and renewals reflect outcomes in production, not contract inertia.

Referrals come from results clients can point to: software in production, metrics that moved, and a team that behaved like partners under pressure. Expectations are set early through compressed discovery on your context. When delivery matches that signal, clients recommend us to peers facing similar build-or-scale decisions.

You get strategic technical leadership without hiring a full-time executive on day one. Partner engineers advise on architecture, sequencing, and risk; delivery agents keep discovery and documentation current; ThinkCore supports conversational analytics when data products are in scope. The model scales from advisory through hands-on build, with the same accountability structure throughout.

Every engagement starts with a free working session: a call at your convenience, agent-led discovery with a senior consultant on your context, and a tailored proposal you can keep either way. Depending on your roadmap, that may include requirements analysis, architecture options, or a named entry point such as a Sprint Readiness Review or Modernization Snapshot.

A senior consultant responds within 24 hours of your submission. Working sessions typically schedule within one to two weeks. Engineering pods can deploy in a few weeks; AI proof-of-concepts in 2–4 weeks and production deployments in 60–90 days depending on scope.

Delivery follows SOC 2 Type II, ISO 27001, and HIPAA-aware patterns from sprint one. Engagements use role-based access, audit trails, and security review as standard practice, not a late add-on.

Yes. That is what the working session and agent-led discovery are for. We assess before we commit, produce structured artifacts you can keep, and scope engineering once there is a defensible plan.

Yes. You receive a real working session on your context and a tailored proposal either way. There is no SDR hand-off, no generic staffing pitch, and no commitment required to book.

Discovery, architecture, product and web development, mobile, integrations, QA, deployment, and optional ongoing support. The Planner and Architect run structured discovery on your brief before sprint one; partner engineers own backlog, release cadence, and production sign-off from week one.

Staff aug adds capacity; we compress discovery and embed senior partner engineers who own outcomes. Delivery agents run engagement-level work (requirements, architecture, test design) before sprint one, so your team ships from a defensible plan instead of paying a discovery tax during billable sprints.

When your workflow, compliance, or integration needs are a competitive advantage and SaaS tools force costly workarounds. We help you validate build vs. buy during the Sprint Readiness Review.

Yes. APIs, ERP, CRM, data warehouses, and identity providers are standard scope. Architecture guardrails document integration contracts before build.

Two-week sprints with replanning each cycle. The Planner maintains a prioritized backlog so new requirements slot in without derailing architecture decisions already made.

A sample sprint outline and backlog slice from your brief, run by a senior consultant using the Planner and Architect. You keep the artifact. We respond within 24 hours with no commitment required.

Estate assessment, as-is documentation, target architecture, wave-based migration, frontend and database modernization, parity testing, cutover, and optional ongoing support. The Assessor documents as-is state and migration waves before wave one; partner engineers own cutover decisions and production sign-off.

Rewrite vendors often start coding before the estate is understood. We document as-is state and scope migration waves with parity checkpoints first. The Assessor runs estate-level discovery before wave one, so you migrate with evidence instead of betting on a big-bang rewrite.

Wave-based migration is our default: lower risk, earlier value, and coexistence of legacy and modern components. We help you choose the right path during the Modernization Snapshot based on your estate, compliance needs, and cutover constraints.

Yes. Strangler patterns, parallel runs, and phased cutovers are standard scope. Architecture guardrails document coexistence boundaries before each wave ships.

An as-is summary and target architecture options from your estate brief, run by a senior consultant using the Assessor. You keep the artifact. We respond within 24 hours with no commitment required.

The Assessor documents expected behaviour before migration; parity test evidence compares legacy and modern outputs at each wave. Quality gates integrate with your CI/CD pipeline so regressions are caught before cutover.

Data strategy, lineage mapping, pipeline and platform engineering, lake and warehouse architecture, BI and dashboarding, semantic layer design, ThinkCore implementation, and optional ongoing support. The Tracer maps lineage first; partner engineers own governed pipelines, semantic models, and production sign-off.

BI vendors sell dashboards; we map lineage first and embed partner engineers who own governed pipelines and semantic models. The Tracer compresses estate discovery; ThinkCore agents deliver cited answers on data your team approves. You get traceable metrics, not another layer of unattributed reports.

Snowflake, Databricks, BigQuery, and AWS, Azure, or GCP data services are standard scope. Architecture guardrails document platform choices before build.

ThinkCore is our commercial product for conversational analytics on enterprise data. The Orchestrator and Investigator run live inside ThinkCore. Delivery agents like the Tracer run inside engagements and are not licensed separately.

Yes. We map existing reports and metrics, rebuild on governed semantic models, and optionally roll out ThinkCore as a conversational front-end so business users can verify answers at the source.

A lineage sketch and pipeline themes from your estate brief, plus a ThinkCore demo on sample or sandbox data, run by a senior consultant using the Tracer. You keep the artifacts. We respond within 24 hours with no commitment required.

AI strategy, use-case consulting, agent architecture, multi-agent development, RAG and codebase grounding, enterprise integrations, MLOps, governance, and optional ongoing support. The Analyzer and Architect ground agents in your codebase and produce defensible architecture before build; partner engineers own production launch and governance.

Generic consulting produces slide decks; we compress discovery with delivery agents and embed partner engineers who ship to production. The Analyzer grounds agents in your codebase; the Architect produces defensible architecture before build. POCs typically land in 2–4 weeks, not quarters of open-ended exploration.

Yes. The Analyzer indexes your codebase into living documentation and agent-ready context. Agents integrate with your APIs, data platforms, and identity providers with architecture guardrails documented before build.

Working POCs typically land in 2–4 weeks. Production agentic workflows in 60–90 days depending on scope, integration complexity, and compliance requirements. We quote honestly after the Codebase Context Scan.

SOC 2 Type II, ISO 27001, and HIPAA-aware patterns from sprint one. Structured review gates, source citation, evaluation harnesses, and partner engineer sign-off before agents reach users.

A documentation sample and 2–3 use case ideas from your codebase, run by a senior consultant using the Analyzer and Architect. You keep the artifacts. We respond within 24 hours with no commitment required.

Requirements analysis, agentic test generation, CI/CD gate design, regression automation, integration testing, structured review gates, and optional ongoing coverage evolution. The Verifier and Reviewer compress test design and review gates before sprint one; QA specialists own exploratory testing and production sign-off.

Staff aug adds capacity; we compress test design and embed senior QA specialists who own outcomes. The Verifier and Reviewer run engagement-level work before sprint one, so release gates are defined before your team ships the first increment.

Yes. Jenkins, GitHub Actions, GitLab CI, Azure DevOps, and cloud-native pipelines are standard scope. We integrate gates without forcing a toolchain swap.

No. Agents compress structured test design and regression coverage. Senior QA specialists own exploratory testing, domain logic, and the judgement calls automation cannot make.

Yes. The Reviewer produces structured gates and traceability from requirement to test evidence. We work with SOC 2, ISO 27001, and HIPAA-aware patterns your auditors can follow.

Sample test cases from one or two stories, run by a senior consultant using the Verifier and Reviewer. You keep the artifact. We respond within 24 hours with no commitment required.

Org assessment, solution design, Sales Cloud and Service Cloud configuration, LWC and Apex development, integrations, data migration, UAT support, deploy, and optional ongoing backlog support. We start with a structured architecture review on your org; partner consultants own rollout decisions and production sign-off.

Staff aug adds capacity; we embed senior partner consultants who own outcomes and build on your org standards. You get team members in your ceremonies with integration and Einstein scope tied to production, not a remote bench billing hours.

Yes. We scope AI use cases to production with governance, data readiness, and clear ownership between RevOps and engineering, not demo-only pilots.

Yes. ERP, data warehouses, marketing automation, and identity providers are standard scope. Integration contracts and observability are documented before build.

Yes. We embed in your team and match your naming conventions, review process, sandbox strategy, and deploy pipeline. Handover includes runbooks your admins can operate.

An org assessment and prioritized roadmap with integration and rollout themes, run by a senior consultant. You keep the artifact. We respond within 24 hours with no commitment required.