Flow Design
Intake rules, WIP limits, service classes, and decision ladders that keep work moving.
Untangle how work travels, remove friction, and automate the repetitive. We re-shape processes so teams focus on outcomes—not handoffs.
We take a ground-truth view of how work moves, surface the real constraints, and redesign the operating model so teams ship with less friction and more predictability.
We map current workflows with Value Stream Mapping, quantify demand vs. capacity, and identify rework loops, blockers, and hand-off friction. Baselines for cycle time, touch time, throughput, FPY, and SLA hits become the anchor for improvement.
We propose a Target Operating Model with fewer hand-offs, clearer ownership, and embedded controls. Rules for intake, WIP limits, service classes and SLAs reduce variability and speed decisions.
We prioritize by value and confidence, shipping pilots in weeks. Each wave has owners, acceptance criteria, and KPI targets; benefits are tracked to close the loop.
Intake rules, WIP limits, service classes, and decision ladders that keep work moving.
RPA for repetitive tasks, BPM for exceptions, and events for fast, resilient sync.
SLIs/SLOs, reviews, and a CI rhythm that compounds gains month after month.
Outcome-first consulting across cloud, apps, data, security, and operations. We design, build, and run platforms with guardrails—so delivery speeds up without trading off reliability or compliance.
Landing zones, migration waves, and cost-aware operations across Azure, AWS, and GCP. Guardrails baked in from day one.
Wave-based plan, IaC modules (Terraform/Bicep), cutover playbooks, DR runbooks, and cost dashboards.
Refactor monoliths where it pays back. Containerize, adopt service contracts, and enable fast, safe releases.
Pilot a critical flow, measure latency/error reductions, then scale via templates and platform guardrails.
Reliable data products from ingest to insight. Governed metrics, affordable pipelines, and AI where it’s safe.
Current-state audit, KPI map, golden datasets, and a 90-day backlog to prove value early.
Ship faster with confidence. Security checks in the pipeline, observability by default, and an SRE cadence that protects reliability.
Install pipeline patterns, define SLOs, adopt incident practices, and tune MTTR with evidence.
Practical controls that fit how your teams work. Identity first, zero-trust network patterns, and audit-ready evidence.
Control matrix, prioritized remediation plan, evidence kits, and continuous monitoring hooks.
Run what we build. 24×7 coverage, measured by SLAs and SLOs—so your team stays focused on product priorities.
RACI, runbooks, SLO dashboards, and a quarterly improvement plan tied to outcomes.
We run the platform like a product—SRE cadence, transparent metrics, and a continuous improvement loop that turns operations into a competitive advantage.
Reliability by design: runbooks, change discipline, and on-call routines tuned to your risk profile. We align SLAs/SLOs with business goals and make incidents measurable and blameless—so MTTR falls and predictability rises.
Golden signals dashboards, SLO alerts, cost & usage reviews.
Weekly performance huddles, RCA library, prioritized experiment backlog.
Playbooks, training, and adoption telemetry for lasting change.