Industry // Enterprise AI
watsonx deployment, multi-agent orchestration, RAG pipelines, and full IBM stack integration, built by an IBM Business Partner who ships production AI.
$632B
Global AI market in 2028
72%
Enterprise AI adoption rate
50%
Cost reduction with AI agents
The Problem
Most enterprises run 10+ AI experiments that never ship. Models sit in notebooks. Stakeholders lose confidence. The gap between demo and production is where budgets go to die.
87% never reach production, VentureBeat
Customer data in Salesforce. Product data in SAP. Docs in SharePoint. When your AI can't access unified data, it hallucinates, contradicts itself, and erodes trust faster than you can course-correct.
68% cite data quality, IBM
SaaS AI tools offer convenience but zero transparency. When regulations demand explainability or your board wants to audit model decisions, a locked API isn't an answer, it's a liability.
$4.88M avg cost of data breach, IBM
You need ML engineers, data engineers, prompt specialists, and MLOps expertise, but hiring four roles to ship one AI feature isn't sustainable, especially when the stack changes every quarter.
Skill gap top barrier, WEF
Solutions
Full lifecycle watsonx.ai deployment, from model selection and fine-tuning to production inference endpoints with monitoring and guardrails.
Purpose-built agent architectures that decompose complex workflows into specialized, auditable AI agents with human-in-the-loop controls.
Retrieval-augmented generation systems that ground LLM responses in your proprietary data, eliminating hallucination and keeping answers current.
Connect your CRM, ERP, data lake, and document stores into unified pipelines that feed clean, structured data to AI models in real time.
Interactive dashboards that surface AI-driven insights, anomaly detection, and predictive analytics for leadership decision-making.
Frameworks and tooling that ensure your AI systems are explainable, auditable, and compliant with regulatory requirements.
By the Numbers
$632B
Global AI Market
Projected global AI market value by 2028, growing at 36.6% CAGR.
MarketsandMarkets
72%
Enterprise Adoption
of enterprises have adopted AI in at least one business function.
McKinsey Global AI Survey
$4.88M
Avg Data Breach Cost
Average total cost of a data breach in 2024, AI-powered security reduces it by $1.76M.
IBM Cost of a Data Breach 2024
50%
Cost Reduction
Average operations cost reduction achieved through AI agent deployment in enterprises.
Deloitte AI Institute
Tech We Use
IBM AI
LLM / ML
Vector / Data
Integration
Infrastructure
Monitoring
How We Work
We audit your current data infrastructure, AI readiness, and business objectives. The output is a detailed architecture blueprint and project scope.
Data integrations are built and validated. Models are selected, fine-tuned, and benchmarked against your specific use cases.
AI systems are connected to your production tools and tested under real-world conditions, including adversarial and edge-case scenarios.
Production deployment with monitoring, alerting, and governance baked in from day one. Ongoing optimization retainers available.
Why TSTQ
Direct access to IBM technical resources, early-access programs, and enterprise tooling. Not a reseller, a hands-on engineering partner.
Every engagement is designed to ship production AI, not PowerPoint. If it can't run reliably under load, we don't deploy it.
Data engineering, model build, infrastructure, and MLOps, all in one team. No handoff gaps between data scientists and engineers.
AI models degrade without maintenance. Monthly retainers cover monitoring, retraining, and continuous improvement.
Pricing
End-to-end AI-powered workflow design and deployment, automating your highest-leverage processes with intelligent agents.
A focused 2-week engagement to identify, design, and deploy your most impactful process automations.
Ongoing systems maintenance, model monitoring, and continuous improvement, so your AI infrastructure never goes stale.
Book a free architecture call. We'll map your highest-ROI AI opportunities and build a roadmap that ships production systems, not more pilots.