NewNew: The enterprise guide to Agentic AI — 24 min read.

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72h
Avg. time to first vetted profile
Higher offer-acceptance vs. traditional staffing
<8%
Annualized attrition on managed pods
40%+
Blended cost reduction with hybrid pods
The enterprise challenge

Enterprise AI ambition is outpacing enterprise AI talent.

Every enterprise AI, agentic and CCaaS program eventually hits the same wall: not budget, not vision — but the ability to source, vet and retain platform-certified engineers, architects and CX operators fast enough to keep momentum.

  • Certified skills are scarce
    Agentic AI, LLM engineering, Kore.ai (Agent Platform, AI for Service), Amazon Connect, Genesys Cloud CX, NICE CXone, Dynamics 365 CCaaS and Salesforce Data Cloud specialists are the top constrained roles in the market.
  • Traditional staffing is too slow
    Standard vendor bench models deliver generic profiles in 3–6 weeks. Enterprise AI programs need vetted, platform-fluent talent in days.
  • Retention is the real cost
    Attrition on strategic AI and CX platforms silently kills roadmaps. You need a partner that owns career pathing, certification and retention — not just recruiting.
  • Governance can't be an afterthought
    Global enterprises need MSA-ready engagements, background checks, data-residency alignment, security clearances and SOC-aligned delivery from day one.
Capabilities

Every engagement model your program actually needs.

Mix and match by workstream — one architect on the strategy, a pod on the build, and a managed team on run.

01
Certified individual specialists

Senior AI engineers, LLM/ML architects, CCaaS solution architects, conversation designers, data engineers, CX analysts and program managers — deployed in days, not months.

02
Implementation pods

Cross-functional 4–8 person squads (architect + engineers + QA + PM) pre-built around Agentic AI, Enterprise AI, and specific CCaaS platforms.

03
Managed delivery teams

Fully managed onshore/offshore capacity with named delivery leads, weekly governance, SLAs and outcome-based commercial models.

04
Offshore + nearshore CoE

Dedicated centers of excellence in India, LATAM and EMEA — with local HR, security, training and 24×7 operations aligned to your time zones.

05
Build-Operate-Transfer (BOT)

We hire, train, certify and operate your captive AI/CX capability — then transfer badges, IP and processes to you on a defined timeline.

06
Contract-to-hire & direct placement

Where you need permanent capability, we source, screen and place platform-certified talent directly onto your payroll with a warranty period.

How we deliver

A six-step model, from assessment to managed operations.

Every engagement follows the same rhythm — so business, IT and delivery stay aligned from opportunity to outcome.

01
Intake

We map roles to your platforms, business outcomes and delivery methodology — not just JD keywords.

02
Source & vet

Multi-stage screening: certifications, hands-on labs, architecture whiteboarding and platform-specific case studies.

03
Onboard

MSA, background, security, laptop imaging, VPN, tooling — production-ready in the first sprint.

04
Enable

Access to our internal AI/CX enablement library, mentors and platform partners keeps talent sharp.

05
Deliver

Weekly governance, sprint metrics, delivery risk logs and named escalation paths.

06
Retain & grow

Certification paths, rotations across marquee accounts and internal COE communities drive best-in-industry retention.

Where it lands

Use cases already in production with enterprise clients.

Rapid Agentic AI build-out

Stood up a 12-person agentic AI pod (LLM engineers, LangGraph specialists, data engineers, QA) inside a Fortune 500 insurer in under 4 weeks.

Global CCaaS migration

50+ certified NICE CXone and Amazon Connect engineers deployed across three regions for a 30k-seat contact-center modernization program.

Dedicated CX Analytics CoE

Built and now operate a 24-person offshore CoE delivering speech, text and interaction analytics for a global BPO.

BOT for a captive AI hub

Recruited, trained and operated a 60-seat AI + data engineering hub for a leading retailer — transferred to the client in 18 months.

Runs on

Partner platforms we implement

  • Kore.ai logo
  • Amazon Connect logo
  • Genesys Cloud CX logo
  • NICE CXone logo
  • Microsoft Dynamics 365 CCaaS logo
  • Five9 logo
  • Salesforce Agentforce logo
  • Google CCAI logo
  • Salesforce logo
Explore platform capabilities →
Industry patterns

Industries where this ships fastest

  • Financial Services
  • Insurance
  • Healthcare Providers
  • Health Payers
  • Retail & Ecommerce
  • BPO & Outsourcing
See industry solutions →
Runs on

Grounded on your data. Governed on day one.

Every platform we implement is only as good as the retrieval, connectors and controls behind it. These are the horizontal solutions we ship with every engagement.

Not sure where to start? Score your organization in 10 minutes.Take the AI Readiness Assessment →
Frequently asked

Questions buyers ask us first.

How fast can you deploy senior talent?
Vetted individual profiles typically land within 72 hours; a full pod is normally onboarded and productive within 2–4 weeks depending on security and access requirements.
Do you support onshore-only engagements?
Yes. We operate onshore, nearshore (LATAM) and offshore (India) delivery models — and any hybrid combination — including US-citizen and cleared talent when required.
Can we convert your consultants to full-time employees?
Yes. Contract-to-hire is a standard model; we offer defined conversion windows and no-fee conversions after agreed tenure.
How do you guarantee quality?
Every consultant is technically vetted by senior architects, mapped to platform certifications, and covered by a delivery warranty. Underperformers are replaced at no cost within the ramp window.
How is a Build-Operate-Transfer engagement priced?
BOT is typically structured in three phases (build, operate, transfer) with fixed per-seat monthly fees during operate, plus a defined transfer fee. Timelines are usually 12–24 months.
Do you provide managed service SLAs?
Yes. Managed teams operate on outcome- or capacity-based SLAs with weekly and monthly governance, quarterly business reviews and executive escalation paths.
Next step

Book a working session with our talent solutions team.

30 minutes. Your architecture, your data, your KPIs. You leave with a concrete pilot outline and a business case worth defending.