AI Squads

Ongoing maintenance, optimization, and proactive monitoring for peace of mind.
Book a discovery call
See example workflow

What's included

20–40%

Reduction in
manual workflow load

Mid-market SaaS · 6–8 week deployment
SQUADS

Multiple workstreams.
Full delivery. Zero overhead.

Your transformation roadmap has more initiatives than your internal teams can run at once.
We take on full workstreams in parallel, ship them to production, and keep your people focused on their core work.
Enterprise delivery since 2000, across Fortune 500 programs.

Build your squad
Coca-Cola
GNC
LIVE WELL
McDonald's
GoPro
VS Victoria's Secret
hp
TriMark
EMAAR
MAERSK
Advance
Auto Parts

What enterprise squads look like

Integrated
execution
We work alongside your teams, integrating into existing sprint cycles, delivery processes, and operational workflows without creating additional management overhead.
Parallel
workstreams
Multiple initiatives shipping simultaneously. Each workstream has a dedicated lead. Cross-stream dependencies are managed by us in coordination with you.
Enterprise
governance
Every line of code passes your internal governance. SOC 2 aligned controls. Data residency compliance. Security environment integration from day one. No shortcuts.
AI-native
approach
AI writes the code. Senior engineers govern every decision. The same model we use at every scale, applied to enterprise-grade programs with enterprise-grade oversight.
Your
infrastructure
We deploy to your cloud, your CI/CD, your repo. Nothing lives on our systems. When the program completes, the code, the infrastructure, and the deployment pipeline are already yours.
Strategic
partnership
We serve as the implementation layer for programs led by global management consulting firms. When strategy firms design it, we build it. Same governance, same quality bar.
Talk through your roadmap →

What enterprise delivery looks like in practice

Programs shipped across multiple workstreams, stakeholders, and delivery teams.

Mining & Oil Gas · IoT Platform
Global Industrial Equipment Group
Situation
The client had a proof of concept for a predictive maintenance platform monitoring equipment in real time. Moving it to production required IoT telemetry, data lakes, and real-time analytics expertise. They hadn't built internal teams around these capabilities and didn't want to scale from scratch.
Outcome
Agentification deployed a globally distributed squad across four regions, supported by architects, technical leads, and project managers. The platform was taken from proof of concept to production while internal teams stayed focused on operations. Ownership transitioned back post-delivery.
400,000+
DEVICES MONITORED GLOBALLY
75%
REDUCTION IN ALERT CREATION TIME
FRACTION OF ANTICIPATED BUILD COST
Real Estate · Platform Transformation
UK Property Group
Situation
The client needed a complete rebuild of their customer portal without disrupting live operations. Pulling internal engineers off the existing platform created operational risk. Hiring a new team would slow delivery and increase overhead.
Outcome
Agentification deployed a 25-engineer squad led by architects and project managers. Internal teams stayed focused on the live platform while the transformation program shipped working software every two weeks. Engineers were later embedded for ongoing platform growth.
25+
ENGINEERS DEPLOYED
25%
OF EQUIVALENT IN-HOUSE BUILD COST
ENGAGEMENT EXPANDED IN 2021
Fast Food · Enterprise Platform
Global QSR Brand
Situation
The client's innovation teams were producing valuable work, but updates were fragmented across teams and channels. Projects were being duplicated across departments, and existing teams were at full capacity. A new initiative needed to run in parallel without disrupting ongoing work.
Outcome
Agentification deployed a squad across architecture, content design, and integration. The Restaurant Technology Hub launched as a unified layer for technology initiatives, giving teams and leadership real-time visibility into active workstreams and product updates.
14
FEATURES SHIPPED
16
WEEKS START TO PRODUCTION
0
COMPLIANCE VIOLATIONS
Talk through your roadmap →

What a squad
engagement
includes

Scoped to your program.

Build your squad →

Dedicated delivery lead

A dedicated AI Orchestrator who owns the relationship, coordinates workstreams, and is your single point of contact. They understand your architecture, your constraints, and your timeline.

Security environment integration

We operate inside your VPN, your SSO, your compliance framework. NDA signed before any access. Data never leaves your environment. Neither does ownership, even if you cancel.

Flexible scale

Start with one workstream. Add more as confidence builds. Scale down when the program completes. No long-term commitments, no minimum terms.

Squad per workstream

Each initiative gets its own team. Engineers, QA, and AI tooling scoped to the workstream. No resource contention across streams.

Governance and audit trail

Every architectural decision documented. Every deployment has a written plan and rollback procedure. Full audit trail for compliance review.

Enterprise-grade governance

The same governance model we use for tier one strategy firms for their enterprise digital & AI transformation programs. Delivered across finance, insurance, logistics, and consumer at enterprise scale.

Common questions

What exactly is a squad?

A squad is a dedicated delivery unit built around a specific workstream. Engineers, QA, AI specialists, and delivery leadership are assigned to that initiative without resource contention. Multiple squads can operate in parallel under a single delivery lead.

How does Agentification handle security and compliance?

Squads operate inside your infrastructure, security controls, and deployment processes. NDAs are signed before access is granted. Architectural decisions are documented, deployments are traceable, and delivery aligns with your compliance and governance requirements.

How is this different from a traditional systems integrator?

Traditional systems integrators typically bill time and materials and require significant client-side management. Squads are scoped around deliverables and outcomes. The delivery lead manages execution, dependencies, and coordination so your team can stay focused on the business.

What happens if priorities change mid-program?

Workstreams can be re-scoped through direct conversations with the delivery lead rather than lengthy change-order processes. The delivery team already understands the program, making it easier to adapt without disrupting governance, security, or delivery standards.

Why wouldn't we build this internally?

Many clients do. Squads are typically brought in when timelines are compressed, multiple workstreams need to move simultaneously, or specialized AI capabilities don't exist internally. The goal is to accelerate delivery without increasing management overhead.

Enterprise workstreams need
the right structure

We plan squads around delivery requirements, operational complexity, and roadmap pressure.

Build your squad →