Cloud, AI and digital engineering
Fast Digital Solutions helps growing organizations modernize applications, move to the cloud, automate operations, and strengthen engineering delivery, from discovery through ongoing support.
Client-first delivery
We work in clear stages, share progress early, document decisions, and shape the delivery model around your team, systems, and business goals.
Every engagement starts by agreeing what matters, who decides, and how progress is judged.
You see running software at a regular rhythm, not status reports about it.
Testing, review, and documentation happen inside delivery, not as a phase after it.
Fixed scope, time and materials, dedicated team, or augmentation, shaped to the work.
Services
Bring together the cloud, software, data, quality, and delivery skills needed to move a defined business priority forward.
Modern, reliable, scalable infrastructure with a realistic migration and operating model.
Plan, build, and operate cloud infrastructure that fits how your applications and team work, from readiness assessment through migration, automation, and day-to-day reliability.
Explore cloud & platform
Apply AI and automation to defined workflows and data, with human oversight and measurable objectives.
Find where AI and automation reduce effort or error in your workflows, prove it on real cases, and put it into production with evaluation and human oversight built in.
Explore ai & automation
Build or improve software that supports customer experiences and internal operations.
Design, build, and modernize web applications, internal platforms, and integrations, with architecture, testing, and documentation treated as part of the work.
Explore software engineering
Reduce release risk and make quality part of the delivery system instead of a final checkpoint.
Build the test strategy, automation, and release-readiness practices that let your team ship faster with fewer surprises, integrated into CI instead of bolted on before launch.
Explore quality engineering
Keep business applications reliable, secure, current, and aligned with evolving needs.
Ongoing care for the applications your business depends on, covering incident resolution, upgrades, monitoring support, small enhancements, and steady reduction of technical debt.
Explore maintenance & support
Add experienced capacity or ownership for a defined workstream without waiting for permanent hiring.
Add a dedicated cross-functional team, or individual specialists, who work inside your tools, standards, and rituals, with onboarding, governance, and reporting defined up front.
Explore flexible teams
How we work
We start by agreeing on the outcome, then design the right approach, deliver in visible increments, check what matters before release, and carry the learning into whatever comes next.
We start by understanding the business objective, the people involved, and what a good result looks like.
Then we turn the problem into a workable plan with clear boundaries and priorities.
We build in visible increments, show progress often, and raise issues as soon as they appear.
Before release we confirm the solution meets what was agreed and get people ready for it.
After release we support adoption, capture what was learned, and reduce reliance on us.
Industries
Four environments where our services naturally apply, approached through the challenges their teams face day to day.
Scaling a product and platform without letting reliability, release quality, or engineering pace slip.
Keeping customer-facing systems fast, integrated, and dependable, especially when peak traffic arrives.
Freeing skilled people from manual, document-heavy processes that spreadsheets and email were never meant to run.
Getting operational systems, partners, and data to move as reliably as the goods they track.
Capabilities in practice
Three illustrative scenarios that show how we approach the situations clients bring to us most often.
Illustrative scenario
A growing software company runs its platform on infrastructure that was assembled under deadline pressure. Environments are configured by hand, releases need out-of-hours windows, and the team hesitates to change anything it cannot easily rebuild.
See how we would approach itIllustrative scenario
An operations-led business processes a steady stream of inbound documents such as orders, applications, and supplier paperwork. Skilled staff spend hours re-keying data between systems, and errors surface downstream where they are expensive to fix.
See how we would approach itIllustrative scenario
A product team wants to release more often, but every release depends on a long manual regression pass. Automation exists, yet it is flaky and routinely skipped, so defects reach production and confidence keeps falling.
See how we would approach itWays to engage
The engagement model follows the work, not a template.
Insights
AI, data, and automation
How to judge whether a workflow is a good candidate for AI automation, the traps that make pilots succeed and rollouts fail, and the cases where simpler automation wins.
Fast Digital Solutions · March 11, 2025 · 5 min read
Cloud and platform engineering
The questions worth answering before you move workloads to AWS, covering goals, people, workloads, data, security, cost, and the operating model you will need on the other side.
Fast Digital Solutions · June 18, 2024 · 5 min read
Quality engineering
Why end-of-cycle testing keeps failing teams, what it looks like to make quality part of the delivery system itself, and a realistic sequence for getting there from a manual-testing baseline.
Fast Digital Solutions · November 14, 2023 · 5 min read
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Or call +1 302-464-5943 · Eastern Time (ET)