Solutions
From diagnosis to deployed AI agents. Structured, governed, measurable.
X-Consulting guides you through a disciplined, three-step journey: assess where AI creates value, automate high-friction work, and deploy agents that execute tasks with human oversight. Below you’ll find how we engage, what we deliver at each stage, and examples of agents already in production.
Our 3-Step Engagement Model
3) Deploy AI Agents
We design, launch and monitor domain-specific AI agents that read, decide and act—within your rules and with human oversight. You scale what delivers value and sunset what doesn’t.
2) Automate Workflows
We implement bots, scripts and integrations to remove manual friction. Cycle times compress, quality improves, and every automation becomes a reusable building block for agents.
1) Audit & Roadmap
We benchmark processes, data and capabilities against AI-First criteria. You receive a prioritized use-case portfolio, ROI estimates, and a governance plan that lets you execute with confidence.
Our Solutions
Strategy
Audit & Roadmap
We conduct a structured readiness assessment across your processes, data, technology and talent.
The outcome is a quantified use-case backlog (no-regret moves first), an ROI model, and a governance blueprint.
You leave with a sequenced roadmap, clear funding logic and success metrics, so initiatives start fast and scale without rework.
_edited.jpg)
_edited.jpg)
Execution
Automation & Adoption
We deliver quick-win automations inside the tools your teams already use: reports, documents, ERP, CRM, email, spreadsheets, ticketing.
Impact is tracked against defined KPIs; successful loops are standardized and documented. Adoption is embedded in day-to-day work, not parked in pilots.
The result: tangible savings and a solid platform for agent deployment.
Data & Agent Governance
AI Agents Layer
We architect, deploy and monitor AI agents that interact with your data and systems. Guardrails, permissions and audit trails are part of the design, ensuring security and compliance.
Humans review exceptions, performance is measured, and models are iterated safely. You gain durable capability, not just a one-off proof of concept.
Client Stories
A snapshot of how our clients turned pilots into production value. Faster closes, cleaner data, agent-run workflows. Below you’ll find headline results; the deeper narrative, architecture, and lessons learned are available anytime.
Nutrition brand ends stockouts with AI forecasts
Forecasting models predict SKU demand by channel; automation pushes replenishment POs and promotional adjustments; agents watch sell-through and alert planners when reality drifts from plan.
18%
reduction in inventory holding cost
Logistics firm clears paperwork bottlenecks
Document Assistant ingests bills of lading and customs forms, validates fields, flags exceptions; bots push clean data into TMS/ERP; a voice agent updates ETAs and notifies clients.
4.7x
faster document processing turnaround
Beverage retailer boosts on-shelf availability
Forecasting agent predicts demand by store and SKU; replenishment agent sends orders to distributors; voice agent confirms delivery windows and resolves shortages proactively.
24%
drop in out-of-stock incidents
Advisory firm turns meetings & memos into searchable assets
AI Note-Taker structures calls, auto-tags actions; Document Assistant reviews workpapers for completeness; agents surface prior work examples and draft first-pass memos.
1.7x
increase in deliverable throughput per consultant
Hotel group halves issue resolution time
Meeting Note-Taker captures daily ops huddles, creates tasks, assigns owners; automation routes issues to maintenance or front desk; an oversight agent tracks SLA breaches and nudges managers.