AI Solutions
SDLC Intelligence
Transform ambiguity into executable plans. We turn unstructured requirements—emails, transcripts, PDFs—into structured backlogs, story‑level work breakdown, and calibrated estimates that reflect the optimal execution mode for each task.
30-45%
Estimation variance reduction
1.6–2.2×
Developer throughput lift
Weeks → Days
Planning cycle compression
The challenge
Software organizations struggle with planning volatility: late‑arriving detail, misaligned estimates, and unpredictable delivery. Backlogs stall, forecasts drift, and teams burn time reconciling priorities. The cost shows up as missed commitments, deferred launches, and eroded stakeholder trust.
“We saw a 35% reduction in forecast error and delivered two major features ahead of schedule in our first release after adopting SDLC Intelligence.“
VP Engineering, Global ISV
The RitePartners Way
We have run global delivery teams and shipped software at Fortune scale. Our SDLC Intelligence tooling comes from decades of hard‑won lessons about what breaks estimation, where backlogs drift, and how to triage work for AI‑assisted execution.
Built by practitioners, for practitioners
Our founders have led platform programs, set SLAs, and forecasted roadmaps under board scrutiny. We understand the stakes—and we built this tooling to solve our own pain.
Calibrated on real data
Effort models are trained on historical analogues from similar teams, domains, and tech stacks—not generic benchmarks. Confidence bands reflect actual variance patterns.
Transparent & auditable
Every estimate comes with explainability: which tasks drove it, what execution mode was assumed, and what risks were flagged. No black‑box predictions.
Continuous learning
As actuals come in, the model refines. We run quarterly calibration reviews with your team to tighten ranges and improve triage accuracy.
How it works
Ingestion & normalization
Consumes unstructured inputs (BRDs, call transcripts, Slack threads, email) and applies policy filters to redact PII, align with taxonomy, and vectorize semantic content for downstream reasoning.
Backlog generation
Plan‑based LLM reasoning derives Epics, Features, and Stories with acceptance criteria, dependencies, and non‑functional needs. Output aligns to SAFe, Scrum, or custom frameworks.
Work breakdown & triage
Each story expands into a WBS: design, implementation, testing, review, release. Tasks are routed to Manual, Vibe Coding (AI‑assisted IDE), or Cloud Agent execution based on complexity and tooling readiness.
Estimation & confidence
Historical analogues and complexity heuristics produce P50/P90 ranges per execution mode. Confidence bands flag tasks with high uncertainty or missing context; risk register identifies mitigations.
Deliverables
Living backlog
Epics, Features, Stories with ACs, dependency maps, and links to source docs.
Story WBS
Task breakdown with execution‑mode assignments and effort ranges.
Effort model
P50/P90 estimates by mode, with confidence and risk annotations.
Risk register
Flagged assumptions, blockers, and mitigation actions.
ALM sync
Bidirectional integration to Jira, Azure DevOps, GitHub Projects.
Playbooks & templates
PR templates, unit‑test scaffolds, and runbooks per execution mode.
Business outcomes
Predictability
- 30–45% reduction in estimation variance (P50 to actuals)
- Fewer sprint rollovers and scope surprises
- Clearer runway visibility for roadmap planning
Velocity
- 1.6–2.2× developer throughput via triage optimization
- Planning cycles compressed from weeks to days
- Lower context‑switching and rework
Quality
- Explicit ACs and dependency tracking reduce defects
- WBS surfaces testing & review tasks early
- Risk register drives proactive mitigation
Strategic agility
- Rapid scenario planning for new feature sets
- Portfolio‑level cost/benefit analysis
- Executive visibility into delivery confidence
Engagement models
2–4 week pilot
Proof‑of‑value on a single release. We generate backlog, WBS, and estimates; you compare to baseline actuals and decide on full adoption.
Quarterly operating model
Embedded service: we run backlog generation and estimation each sprint/PI. Shared KPIs on variance, throughput, and quality.
Tooling license + enablement
Self‑service platform with role‑based training, admin runbooks, and quarterly health checks.
Ready to improve predictability?
Start with a single release and see measurable gains in estimation accuracy and delivery velocity.
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