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(HQ) Av. Punto Sur 31, Tlajomulco de Zúñiga, Jal 45050, MX
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Empower your staffwith AI Workforce .

Digital workers designed by INMEDIATUM shoulder the repetitive, high-knowledge tasks your teams struggle to staff—cutting costs and time-to-productivity while your people focus on strategic growth.

Modern operations rely on roles that demand scarce expertise—analytics engineers, nurses, supply-chain planners, and compliance analysts. The global supply of that talent is shrinking even as turnover rises, leaving C-level leaders in a perpetual recruiting loop and eroding margins.

Accelerate Results with an Always-On AI Workforce.

Digital workers from Inmediatum scale 24 × 7, slotting into your existing tech stack to absorb knowledge-intensive, hard-to-staff tasks. Early adopters report double-digit productivity gains, material cost savings, and faster decision cycles—all while tightening security and compliance controls.

Instant Capacity Expansion

Lower Operating Cost

Faster Onboarding

Enterprise-Grade Security & Compliance

Consistent, Error-Free Quality

Smarter, Faster Decisions

Automated Data Governance

Talent-Risk Mitigation

Our Services

Custom trained AI Workforce

INMEDIATUM delivers pre-trained, role-specific digital workers that plug into your tech stack, execute rule-based and cognitively heavy tasks, learn continuously, and hand off exceptions to humans. Think of them as permanent employees with infinite scalability and no turnover.

  • Domain-trained skills (finance, logistics, healthcare, construction, HR)—assembled from an expanding catalog of AI micro-skills inspired by EY’s “digital worker” architecture.

  • Seamless collaboration—bots work inside Outlook, MS Teams ERP, and analytics dashboards, mirroring WWT’s best-practice workflow patterns.

  • Strategic Workforce Planning baked in—road-mapped 3-5 years ahead per McKinsey SWP guidelines.

Our Services

AI Workforce Development that Works

INMEDIATUM engineers, deploys and governs digital-worker solutions that let you scale expertise without inflating headcount. Drawing on frameworks published by EY, WWT and McKinsey, we guide clients through a clear five-stage journey that matches their technical readiness, data maturity and change-management capacity

1.- Readiness & Value Scan

Many organisations jump straight to tooling and miss the foundational step of mapping where digital workers create the most value. We begin with a talent-scarcity heat-map, process time-study and AI policy review to surface “day-one wins” and compliance gaps.

Outcome: a prioritised backlog of tasks, cost-benefit model and executive go/no-go checkpoints.

2.- Pilot & Proof of Concept

We assemble a role-specific digital worker using pre-built skills (OCR, NLP, analytics) and integrate it in a sandbox to validate throughput, accuracy and security controls.

Outcome: measurable productivity uplift, security sign-off and change-management playbook.

3.- Secure Integration & Governance

Successful pilots scale only when they connect safely into ERP, CRM and data-lake APIs. We apply zero-trust patterns, audit logging and exception routing so humans stay in the loop for edge cases.

Outcome: production-grade architecture, RACI matrix and KPI dashboard.

4.- Enterprise-Wide Scaling

Using McKinsey’s “Superagency” guidelines, we replicate proven digital-worker templates across business units, tune them with reinforcement feedback and embed continuous-improvement cadences.

Outcome: accelerated capacity gains, cost-to-serve reduction and unified workforce analytics.

5.- Strategic Workforce Transformation

Finally, we align AI capacity with long-range strategic-workforce planning (SWP) so the organisation reallocates savings into upskilling and innovation, not just cost cuts.

Outcome: resilient talent strategy, skills-adjacency roadmap and culture shift from “AI project” to “AI-enabled enterprise.”

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