Capabilities that reach production
Five groups carry the work: agentic systems, data engineering, enterprise platforms, cloud infrastructure, and senior engineers embedded in your team.
AI & Agentic Systems
Two-week pilotFoundation models, retrieval, and evaluation joined to tool-using orchestration. The craft is context engineering and harness engineering: the prompt, memory, and tool scaffolding around a model, the agentic patterns that make its behavior repeatable under load, and the enablement to run all of it in-house.
Data & Engineering
Embedded buildService architecture, API layers, and the responsive surfaces on top, plus the pipelines, migrations, and vector infrastructure that keep intelligent systems fed, fast, and observable as teams scale.
Enterprise Platforms
Extend and productizeCRM, ITSM, and enterprise-system work that keeps workflows, customer context, and operational data in sync. Consolidation of the processes an organization runs on, delivered on the platforms your teams already own rather than beside them.
Cloud & Infrastructure
Foundation to productionLanding zones, deployment layers, containers, and edge runtime operations that carry builds cleanly from commit to production. Hybrid and multi-cloud by default, so the system stays portable rather than welded to one provider's console.
Embedded Teams
Senior engineers inside your team, carrying your roadmap as forward-deployed builders: your repo, your standup, your priorities. You direct the work; we carry it at your standards, inside your process.
- 01 Forward-deployed Senior engineers join your team directly, not a vendor pod at arm's length.
- 02 Your repo, your standup Work happens inside your process, your standards, and your review culture.
- 03 Senior only No leverage pyramid. The people you meet are the people who do the work.
Seniority is the model; certification is the evidence. The engineers we embed hold the platform credentials the work runs on.
Assess, design, plan, operate
However you enter, with one group or several, the shape of the work is the same. Four moves that take a loud ambiguity to something your team can ship from.
This ladder is run by the reStrategy practice. See how it engages →
- 01Assess
AI-readiness audit
Stack, data, team, and operating-model audit. Surfaces what's actually blocking AI in production.
- 02Design
Reference architectures
Concrete, evaluatable architectures for the AI-native systems your roadmap calls for.
- 03Plan
Sequenced roadmap
A dependency-aware plan for getting from where you are to where the architecture says you should be.
- 04Operate
Operating-model design
Team shape, ownership boundaries, and the rituals that keep humans and AI in the same conversation.
Recent writing from the practice
How the groups above behave in production, written up as we go.
Anyone Can Deploy an Agent. Almost No One Can Operate One.
Read →
State, Not Time: A Reference Architecture for Agentic Operational Context Management
Read →
Why Reveriext is starting a Salesforce practice
Read →Questions about the service groups
How the groups combine, and what an engagement looks like in practice.
Not covered here? Send it our way →
How do the five groups fit together?
They describe one path from model to production. AI & agentic systems is the intelligence layer, data & engineering is what feeds it, enterprise platforms are where the work already lives, and cloud & infrastructure is what carries it into production. Embedded teams is the delivery posture the other four can be bought in.
Do I hire one group, or several?
One is normal. Most engagements start with the single group closest to the constraint, then pull in others only when the work demands it, such as an agent build that turns out to need a data pipeline underneath. You are never buying every group to get one thing done.
How does a two-week pilot work?
We scope one concrete slice in a single call, ship it to a real environment inside two weeks, and you keep the code regardless of what happens next. Small enough to be safe, real enough to prove it.
Do you advise, or do you build?
We build. Every group ships to production, and the people who scope the work own the consequences of it. Our delivery record, with the provenance of every claim in it, is published at reveriext.com/track-record.
What does an embedded team actually mean?
Senior engineers who join your repo, your standup, and your roadmap as forward-deployed builders. You direct the work; we carry it at your standards, inside your process. Senior only, no leverage pyramid: the people who scope the engagement are the people who stay on it, and the team holds Salesforce, AWS, and Google Cloud certifications.
A scoped pilot, in production
One call scopes the work. Two weeks puts a working slice into a real environment, and the code is yours regardless of what follows.