AI First. Data, Analytics and Cloud, Always.
Turn AI and data into more revenue, lower cost, and less risk.
Adastra helps you grow revenue, reduce cost and risk, and increase the lifetime value of every customer relationship — with agentic AI deployed on the systems you already run. End-to-end. No migration. No lock-in.
Leading banks, insurers, and enterprises across North America partner with Adastra.
Trusted by industry leaders
Sources: McKinsey (2026); Brynjolfsson, Li & Raymond, QJE (2025). Figures are directional and validated against your own numbers during discovery.
What we do
We help our clients help their clients
We turn AI and data into real business results. We fix the process first, then deploy AI that runs inside it — so the gains are real, measurable, and yours to keep.
How we work
A method built to prove value before you scale
Every engagement starts by de-risking the investment. Each stage stands on its own, so the case for the next one builds itself.
We map what actually happens, validate it with your subject-matter experts (SMEs), and design the future state. You leave with a prioritized automation roadmap and a business case built on your own numbers.
We put agentic automation into live production on one or two priority processes — a real proof point in your environment, with hard numbers on cost, speed, and quality before you scale.
We scale across your priority processes with change management, testing, and a full audit trail, then hand the operation over to run end-to-end.
An optional managed service: we monitor, tune, and adapt every agent with committed uptime backed by service-level agreements (SLAs), so the savings compound.
Solutions & products
Outcome-focused solutions, built for your industry
Every solution starts from a business outcome and the process behind it — never a technology looking for a home. Explore what’s live today; more solutions and products land continuously.
Why Adastra
The consulting partner enterprises choose to lead on AI
You don’t need another proof-of-concept. You need outcomes in production. Here’s why operations and transformation leaders choose Adastra.
We re-engineer the workflow before a single agent touches it, so your investment lands on a process built to handle real volume from day one.
We deploy inside the controls you already answer to, on trusted, governed data, with human oversight on every judgment that matters.
One team takes you from current-state process to deployed, production-ready AI and a clean operational handover — nothing lost between design and build.
A library of configurable, pre-built agents cuts build time and delivery risk, so you start from proven parts, not a blank page.
Computer Use Agents drive your legacy screens directly — automation now, without a multi-year, high-cost migration.
Every stage delivers standalone value. Managed services stay optional, chosen only when they make sense for you.
Industries
Built for high-volume, customer-intensive enterprises
The method travels. We lead where legacy platforms and expense pressure run deepest — and extend the same approach across industries.
FAQ
Frequently asked questions
How is Adastra different from a Big 4 consultancy?
We deliver outcomes in production, not slideware. Where large firms hand off between strategy and build, one Adastra team owns the work end-to-end — re-engineering the process, deploying agentic AI on your existing systems, and handing over a running operation. You get enterprise depth without the layers, the lock-in, or the multi-year timeline.
How quickly can we see results?
Fast. A re-engineering engagement runs 8–12 weeks and ends with a costed business case built on your own numbers. A departmental proof point reaches live production in another 8–12 weeks, giving you hard figures on cost, speed, and quality before any full-scale commitment. Each stage delivers standalone value, so nothing goes to waste.
Do we have to replace our core systems?
No. Our Computer Use Agents operate your existing screens directly — reading, entering data, and executing steps the way a person does — so legacy and mainframe platforms stay exactly where they are. There is no migration project and no client-side integration to build. Automation lands now, on the systems you already run.
Is this safe for a regulated environment?
Yes. Every deployed agent leaves a full audit trail, backed by observability across throughput, exceptions, and decision quality. Low-confidence cases escalate to your team through human-in-the-loop review, so a person owns every judgment that matters. We deploy inside your existing controls and keep processing within the governance you already answer to.
Do we have to sign a large managed-services contract?
No. Each phase delivers standalone value, and you can enter at whichever one fits your priorities — many clients start with an 8–12 week re-engineering engagement. Managed services becomes an option only once agents are live, chosen if ongoing tuning and SLA-backed uptime make sense for your team. No contract locks you in.
Which industries and processes do you work in?
Any organization running large, manual, high-volume operations. We lead in banking and insurance, where legacy platforms and expense pressure run deepest, and extend the same method across energy, retail, manufacturing, and healthcare. Typical starting points are claims, onboarding, lending, servicing, and case processing — anywhere volume drives cost and cycle time.
Get started
See what outcome-driven AI looks like for your operation
In one working session, we will pressure-test your biggest cost-and-service bottleneck and map the fastest path to measurable savings.
- Pressure-test your highest-cost process
- See agentic automation on a live workflow
- Model the savings on your own numbers
- Scope a departmental proof point