CT Labs by Christian & Timbers occupies a position no other firm holds. It is the first executive search firm to deliver both human leaders and agent-based tools simultaneously - enabling organisations, especially in manufacturing and technology, to rapidly deploy agentic workers where they create the greatest impact. That combination of talent and toolchain is not incidental to what CT Labs does. It is the entire point.
Moving from Interfaces to Protocols
Most enterprises are stuck. Chatbots answer questions, but people still execute. Robotic Process Automation is brittle and bound to user interfaces. Fragmented workflows create manual handoffs, rework, and delay. The opportunity sitting inside hundreds of workflows - cost reduction, revenue acceleration, operational efficiency - remains largely untapped.
CT Labs addresses this directly. Agentic AI, as CT Labs defines and deploys it, plans and acts across tools and systems to complete goals end-to-end. It executes at the protocol layer via APIs and events, with governed autonomy: permissions, audit trails, and human-in-the-loop controls where required. The result is 24/7 monitoring, proactive exception handling, faster cycle times, and built-in ROI from the start.
CT Labs applies real-time intelligence from the companies achieving the strongest efficiency gains to identify the highest-value workflows, the right sequencing, and the fastest paths to ROI. Organisations that engage CT Labs bypass months of analysis and move directly into high-value deployment at speed.
ROI Agents: Purpose-Built, Incrementally Deployed
The core delivery mechanism at CT Labs is the ROI Agent - an intelligent, purpose-built AI agent designed to solve a discrete business problem with precision. Each ROI Agent eliminates manual, repetitive, and error-prone tasks, enabling teams to focus on innovation and high-value work.
CT Labs follows a disciplined "start small, prove value, expand" deployment model. Rather than attempting to boil the ocean, the team deploys one high-impact ROI Agent first, tuned to a constrained and clearly defined use case. That single-agent sprint is designed to deliver measurable ROI quickly. Once value is validated, additional agents are chained together, each building on existing intelligence and workflows, until organisations achieve a unified, intelligent operating system across forecasting, pipeline, fulfillment, legal, IT, and beyond.
This approach minimises risk, preserves existing technology investments, and compounds value over time.
The ROI Agent Portfolio
CT Labs has built one of the most comprehensive agentic AI portfolios available to enterprise clients. The offering spans six major domains.
The Revenue ROI Agents transform RevOps into a predictive, automated, and scalable system. Instead of reacting to missed targets after the fact, organisations gain continuous intelligence across the entire revenue lifecycle. Twelve purpose-built agents cover data-driven sales forecasting, pipeline requirements for growth targets, territory health inspection, install base cross-sell intelligence, whitespace and net-new prospect identification, AI-powered sales outreach, lead nurturing automation, AI-driven quoting, opportunity prioritisation, invoice processing, renewal automation, and support case triage and churn detection.
The Legal ROI Agents augment legal professionals by automating high-volume, low-leverage work. Across litigation, transactional law, regulatory compliance, and discovery, Legal ROI Agents reduce review cycles by up to 70 percent - enabling attorneys to focus on advocacy, negotiation, and outcomes. Agents cover legal forms and filing generation, contract intelligence and generation, litigation intelligence and research, deposition analysis, motion drafting, and eDiscovery prioritisation. All systems are fine-tuned on firm-specific proprietary data, with strict confidentiality controls and human-in-the-loop design throughout.
The General IT ROI Agents eliminate manual bottlenecks and automate high-friction business and IT workflows across the enterprise. Four core capability areas address knowledge and FAQ automation, intelligent document processing and generation, agentic business flow automation, and conversational business intelligence - giving any employee natural-language access to operational data without dependency on report builders or technical teams.
The Life Sciences, Health Sciences, and Bioinformatics portfolio brings generative and agentic AI to scientists, clinicians, and data stewards. CT Labs tools cover experimental data capture and annotation, AI-powered literature mining, systems-level visualisation and network modelling, and machine-learning guided experimental design. On the clinical side, agents support EHR tagging, trial eligibility matching, consent and ethics compliance tracking, and predictive risk analytics for population health. A dedicated ROI Agent catalog for digitised blood sample analysis brings 14 purpose-built agents to pathology workflows, from image focus verification and cell segmentation through to tumour detection, WBC differential, RBC morphology, and parasitic infection detection.
The Insurance Liability ROI Agent - operating under the persona Allegra - automates contract review for insurance companies by scanning uploaded documents to detect explicit insurance requirements, indemnification and risk-transfer clauses, coverage limit demands, and non-standard coverage requests. When insurance policies are also uploaded, the agent evaluates whether coverage exists or whether gaps are present. The agent contains deep vertical pattern recognition across construction, technology, biotech, financial services, education, energy, manufacturing, real estate, and more.
Proven Enterprise Impact
CT Labs is not positioning for future deployments. The work is already in production.
At a $6 billion global technology company operating across more than 40 active ERP systems, CT Labs deployed a production-grade agentic AI workflow using 15 or more custom-built agents, each designed to automate a discrete step in the purchase order lifecycle. Initial build-out took five months. The quantified impact was approximately $14 million in annual labor and time savings in Year 1, projected to reach approximately $32 million in Year 2 as adoption expands. Revenue recognition was pulled forward by approximately $5 million per quarter through faster order processing. Processing time per order dropped from roughly five days to seconds. Manual errors fell to under 3 percent - without any ERP replacement.
At a $1 billion national insurance brokerage where fewer than half of inbound contracts were being reviewed in time to support deal execution, CT Labs deployed a domain-trained contract analysis agent supported by a library of 15 or more custom AI agents. Contract review coverage increased from under 50 percent to over 90 percent. Projected incremental annual revenue from the higher conversion rate is estimated at $75 million to $125 million per year. Legal teams were redeployed toward higher-value advisory and negotiation work. The entire buildout took six months.
The Agentic ROI Discovery Engagement
For organisations beginning their journey, CT Labs offers Phase 1: Agentic ROI Discovery - a fixed-fee, four-week engagement priced at $150,000. The engagement delivers a clear baseline of the organisation's AI-native readiness, a prioritised pipeline of ROI-driven agent opportunities, initial ROI sizing for priority use cases including value, cost, risk, and time-to-impact, and a full executive readout and Phase 2 roadmap.
CT Labs evaluates AI readiness across three dimensions: standard workflow mastery, tech stack AI compatibility, and each function's propensity to adopt new technology and workflows. Organisations scoring 13 to 15 on the composite readiness scale are ready for full-scale agentic deployment. Those scoring 9 to 12 have strong potential with moderate preparation required. Those scoring 3 to 8 need foundational infrastructure work before agent rollout.
Unlike consultants who deliver static reports after four to six months, CT Labs starts immediately identifying workflows with the highest economic impact, provides both human leadership and agentic talent simultaneously, leverages pattern recognition from the world's top AI-native companies, and deploys proofs of concept that accelerate time to value.
Phase 2 - a proof of concept for one prioritised workflow - is estimated at $300,000 to $500,000 over one to two months. Phase 3 - scaling from proof of concept to production-grade agents across additional workflows and functions - is estimated at $500,000 to $1,000,000 over one to six months depending on scope.
The Talent Dimension: #1 in AI Executive Search
Christian & Timbers is ranked first in AI executive search - the retained partner of choice for frontier model labs, orchestration platforms, application layer companies, AI consulting firms, and large public companies driving AI-native transformation.
The firm has placed over 350 leaders across AI, including more than 10 CEOs, over 200 robotics and physical AI leaders, more than 25 Chief AI Officers, and over 20 SVPs of AI. It maintains a network of over 5,000 AI-native founders, CEOs, investors, ML and AI PhDs, CTOs, and C-suite executives, with deep relationships at OpenAI, Anthropic, DeepMind, Meta, AWS, and xAI. Christian & Timbers achieves over 90 percent market coverage in under 30 days.
Recent placements span Adobe, Oracle, Broadcom, Proofpoint, Algolia, NVIDIA, Amazon, Accenture, Sabre, Atropos Health, FTI Consulting, and SiTime, among others. Current active searches include Chief AI Officers, SVPs of AI, CPTOs, Board Directors, and AI-native CEOs across categories from foundation model companies to physical AI and enterprise transformation.
What Makes CT Labs Genuinely Different
Most AI advisory engagements end with a report. CT Labs ends with agents running in production and leaders in seat who can scale them.
The firm connects talent and toolchain in a way no other organisation does. Engagements typically begin in one or two functions - operations, support, finance, legal - and scale post-hire as the SVP of AI or Chief AI Officer brought in through Christian & Timbers takes ownership of the roadmap CT Labs has already built.
This is not a consulting firm that recommends technology. It is not a staffing firm that fills roles and exits. CT Labs is the bridge between the two - and in a market where most enterprises are behind on both fronts, that bridge is where the real value lives.
Start small. Prove ROI. Scale intelligently.
To explore an engagement, contact CT Labs at hello@ctlabs.ai