# Them at Work — Full content for AI engines > Them at Work is an enterprise AI services company. We help organisations automate operations, build AI-native products, and deploy intelligence at scale. Site: https://thematwork.com Contact: hello@thematwork.com Founded: 2024 Locale: en_GB License: Content on this site may be cited and summarised by AI/answer engines with attribution to Them at Work (https://thematwork.com). --- ## About We built this because the alternative wasn't good enough. Every AI consultancy claimed to be different. Most delivered slide decks and charged by the hour. We do the opposite. ### Our story ### What we do --- ## Services ### 01 — AI Business Automation & Adoption URL: https://thematwork.com/services/automation/ Legacy workflows don't retire themselves. We map your operations, find the highest-ROI targets, and replace manual processes with AI systems your team can actually trust and use. Tags: Process Audit, Workflow AI, Change Management ### 02 — AI Product & Software Development URL: https://thematwork.com/services/products/ RAG pipelines, voice agents, AEO platforms, custom LLM integrations. We design, build, and ship AI-native products that are production-ready and built to scale from day one. Tags: RAG, Voice Agents, AEO, LLM Integrations ### 03 — Forward Deployed Engineering URL: https://thematwork.com/services/fde/ Our engineers go on-site into your organisation and operate what they build. Inspired by Palantir's FDE model. We stay until the system works at scale, then hand over completely. Tags: On-site Embed, Ops Integration, Knowledge Transfer ### 04 — Full-Stack AI Company Transformation URL: https://thematwork.com/services/fullstack/ Don't sell AI tools to your industry. Become the AI-powered version of it. We architect company-as-software systems that compete directly with incumbents at 80% margins instead of 30%. Tags: Company-as-Software, Agent Architecture, YC Full-Stack AI ### 05 — Managed AI Agents URL: https://thematwork.com/services/agents/ A business in a box. We build one AI agent that solves your team's biggest repetitive problem, deploy it on managed infrastructure, and run it for you. Live fast, running 24/7, and maintained month to month. Tags: Real Estate, E-commerce, Coaching, Agencies, 24/7 Operation Pricing: $1,500 to $3,000 setup + $500 / month --- ## Service deep-dives ## AI Business Automation & Adoption URL: https://thematwork.com/services/automation/ Description: We map your entire operations, identify what can be automated, and build the AI systems that remove human effort from tasks that don't need it. Most businesses run on workflows designed before AI existed. We map your operations, find the highest-ROI targets, and replace manual processes with AI systems your team can trust and use. ### The problem Manual approvals, copy-paste reporting, email chains managing complex decisions. The cost is enormous, and it compounds every day. The work exists. The AI to replace it also exists. The gap is a missing plan. ### What we do — The end-to-end automation engagement. - Full operational audit, every workflow, every process, every bottleneck - AI opportunity mapping with ranked ROI estimates - Automation architecture design (n8n, Make, custom pipelines) - Implementation and testing embedded in your team - Adoption programme, training, change management, internal champions - Ongoing monitoring and optimisation ### Who it's for Businesses with repetitive, high-volume operations, finance, legal, logistics, customer service, HR, operations. Any organisation that wants to do more with the same team. ### What changes — Outcomes our clients measure. - Invoice processing goes from 3 days to 3 minutes - Customer support triage handled before a human reads the email - Weekly reports generated and distributed automatically - Approvals routed, escalated, and tracked without a single Slack message - Your team stops doing things machines do better ### Technologies - n8n - Make - Zapier - Python - OpenAI - LangChain - Airtable - Notion - Slack ### Typical engagement — Twelve weeks, four phases. - Week 1–2: Operational discovery & audit. - Week 3–4: Architecture & pilot design. - Week 5–10: Build, test & deploy. - Week 11–12: Adoption programme & handover. ### Outro Start with a free audit. We'll map your operations and identify the highest-ROI automation targets before any commitment. Primary CTA: Book the audit → https://thematwork.com/contact/?service=automation --- ## AI Product & Software Development URL: https://thematwork.com/services/products/ Description: RAG systems, voice agents, AEO platforms, custom LLM integrations. AI-native products built from scratch and production-ready. Some problems need automation. Others need an entirely new product, purpose-built to use AI at its core, not bolted on top of something legacy. We build AI-native products from scratch. ### What we build — AI-native products, production-ready. - RAG Systems, retrieval-augmented generation for internal knowledge bases, customer portals, and AI-powered search - Voice Agents, intelligent phone and voice assistants that handle inbound enquiries, qualify leads, and book appointments - AEO Platforms, answer engine optimised content systems built for AI search (Perplexity, ChatGPT, Gemini) - Custom AI APIs, bespoke LLM integrations wired into your existing stack - AI-native web applications, full-stack products with AI at the core, not the periphery ### Our development approach We work in short, focused sprints with constant alignment. You see working software every two weeks, not a demo in month six. Our stack is modern, open-source where it counts, and entirely yours at handover. ### From brief to production — How we move from idea to live. - Phase 01: Product definition workshop, features, users, success metrics. - Phase 02: Architecture review, model selection, infra, data strategy. - Phase 03: MVP in 6–8 weeks, production-ready in 12–16. - Phase 04: Post-launch support and iteration included. ### Tech stack - OpenAI - Anthropic - LangChain - Pinecone - Weaviate - Retell AI - Vapi - Supabase - Next.js - Python - FastAPI - Vercel ### Capabilities — What we can ship for you. - Retrieval-Augmented Generation (RAG) - Voice AI & conversation design - Answer Engine Optimisation - LLM fine-tuning & evals - Agent orchestration - Full-stack product engineering ### Outro Let's define it together. A 45-minute product definition workshop is how we start. No commitment required. Primary CTA: Start the conversation → https://thematwork.com/contact/?service=products --- ## Forward Deployed Engineering URL: https://thematwork.com/services/fde/ Description: Our engineers go on-site, embedded inside your business, operating the AI systems they build. The Palantir model, applied to AI transformation. Inspired by the model that made Palantir legendary. Our FDEs go on-site into your business, sit alongside your operations team, and build the AI systems live in your environment, not in a dev sandbox. ### The gap FDE closes The gap between a working prototype and a working production system inside a real organisation is enormous. Org structures, legacy systems, trust, politics, muscle memory. FDE is how you cross it, from the inside. ### Day to day — What FDE looks like in practice. - A 2–4 person team physically embedded at your location - Direct access to your operations, data, tools, and people - Daily standups, weekly reviews, full transparency, no black boxes - We operate the systems alongside your team until they own them - Active problem-solving in the room, not ticket escalation from a distance ### When you need FDE — High-stakes, high-complexity environments. - Enterprise-scale AI rollouts across multiple teams or business units - Regulated environments (finance, healthcare, legal) where compliance is non-negotiable - Full-Stack AI company transformations - Greenfield AI programmes where internal expertise doesn't yet exist - Post-acquisition integrations where two operations need to become one ### How it ends FDE engagements end when your team doesn't need us anymore, not on an arbitrary contract date. We define exit criteria at the start, internal capability benchmarks, system performance thresholds, team confidence metrics. We hand over and we leave. Everything stays. ### FDE team structure — Three roles, embedded with you. - [object Object] - [object Object] - [object Object] ### Engagement length Typical FDE engagements run 3–6 months. Duration is set by exit criteria, not an arbitrary end date. ### Outro Let's assess the fit. A short discovery call is how we assess whether FDE is the right model for what you're trying to do. Primary CTA: Book a discovery call → https://thematwork.com/contact/?service=fde --- ## Full-Stack AI Company Transformation URL: https://thematwork.com/services/fullstack/ Description: We help organisations redesign operations, delivery, and customer experience around AI-first systems. Company-as-software transformation with full-stack execution. We help you redesign the business around AI-first delivery, not just add tools around the edges. The goal is a company that runs more of its work as software, with AI owning repeatable knowledge work end to end. ### The shift The gap is enormous: $5 trillion in global knowledge work versus $230 billion in B2B SaaS. The companies that close that gap won't be selling software. They'll be running as software, with margins of 80% instead of 30%. ### What it involves — Transformation, not integration. - We identify which parts of your operations AI can own entirely, not just assist - We redesign your delivery model around AI-first workflows and company-as-software principles - We build the agent architecture: triggers, events, orchestration layers, and escalation paths - We replace manual knowledge work with governed autonomous AI pipelines - We help reposition your company to compete with faster delivery, lower operating cost, and stronger margins ### Already happening — Industries already making this shift. - Accounting, Truewind: AI accounting firm you hire instead of accountants - Financial services, AviaryAI: full outbound AI service team for banks - Insurance, Corgi: AI-powered carrier targeting 12% of US GDP - Consulting, legal, HR, logistics, customer service, all in play ### How we architect it — Business analyst and software architect in one team. - Business model redesign, so AI owns defined outputs instead of only assisting staff - Agent architecture design across orchestration, triggers, event flows, and human review - Full-stack implementation from data layer to customer-facing AI experience - Forward Deployed Engineering support to make the system operational inside your organisation ### The shift in numbers - Global knowledge work spend: - B2B SaaS market today: - Target margin profile for AI-first operators: ### Prerequisites This transformation works best when combined with our Automation and FDE practices. We assess readiness as part of the initial discovery call. ### Outro Let's explore the model. We start with a readiness assessment, where your business is now, and what it would take to run as software. Primary CTA: Book a readiness call → https://thematwork.com/contact/?service=fullstack --- ## Managed AI Agents: A Business in a Box. URL: https://thematwork.com/services/agents/ Description: A business in a box. One focused AI agent, deployed on managed infrastructure. Setup in days, running 24/7, and maintained month to month. We identify one repetitive workflow in your business, build a focused AI agent to handle it, and deploy it on managed infrastructure. The agent runs 24/7 while we handle hosting, monitoring, updates, and ongoing maintenance. ### How it works — One agent. One niche. Live fast. - We choose one high-value workflow together, such as lead follow-up, booking, support, reporting, or onboarding - We define exactly what the agent should own, when it should escalate, and how success will be measured - We build one focused AI agent that handles the workflow end to end - We deploy it on managed infrastructure and handle servers, uptime, monitoring, and updates - You pay a one-time setup fee, then a monthly managed service fee to keep the agent live - We maintain and improve the agent month to month as usage grows ### What kind of agents — The common shapes. - Lead qualification agents, responds to enquiries 24/7, qualifies, books calls automatically - Customer support agents, handles FAQs, escalates only what needs a human - Onboarding agents, walks new clients through your process without staff involvement - Reporting agents, pulls data, formats it, sends weekly summaries to stakeholders - Booking and scheduling agents, manages calendars, confirmations, and reminders end to end ### The service model — What is included. - Setup starts at $1,500 and ranges to $3,000 depending on workflow complexity - Managed operation is $500 per month for hosting, monitoring, maintenance, and updates - The agent is built around one clear business workflow, not a generic chatbot - Prototype to live deployment usually takes days, not weeks - Ongoing maintenance keeps the agent reliable as your process, prompts, and integrations change ### Pricing — Simple, predictable, recurring. - $1,500 — Setup starts from - $3,000 — Typical setup ceiling - $500 — Managed service / month ### Best niches right now - Real Estate - E-commerce - Coaching - Agencies - Legal - Financial Services - Healthcare Admin ### Timeline Prototype live in 2 to 5 days. Production-ready deployment in under 2 weeks. First clients onboarded before the end of month one. ### Outro Let's solve one workflow. A 30-minute call is all it takes to identify the right workflow, the right agent, and the right deployment plan. Primary CTA: Book the call → https://thematwork.com/contact/?service=agents --- ## Principles ### Business first. AI second. We understand the work before we touch the tech. Every system starts with your workflows, teams, bottlenecks, and business goals. ### Built for speed to value. We do not disappear into long strategy cycles. We find the fastest, most useful AI opportunities and move them from idea to working system. ### No decks pretending to be delivery. You do not get endless recommendations with no execution. We build, test, deploy, and improve the systems with your team. ### Human-first by default. AI only works when people actually use it. We design systems around your teams so the technology supports the work instead of disturbing it. ### Measured by real outcomes. Cost saved. Time reclaimed. Revenue unlocked. Decisions made faster. We measure success by business impact, not hours billed. ### You own what we build. Forever. No messy lock-ins. No hidden dependency traps. The systems, knowledge, code, models, pipelines, documentation, and full IP transfer at handover. ## How we work 1. **Operational Discovery** — We audit your workflows, interview your team, and map every process AI can improve. 2. **Solution Design** — Architecture, specs, and success metrics aligned before we write a line of code. 3. **Build & Deploy** — We ship in weeks, not quarters. Embedded through go-live and beyond. 4. **Knowledge Transfer** — Full documentation, team training, and complete IP handover. No lock-in. ## Stats - 3× — Avg. productivity gain - 90% — Reduction in manual ops - 12 wk — Avg. time to production - 100% — Embedded delivery model ## Stack OpenAI, Anthropic, LangChain, Pinecone, Supabase, n8n, Retell AI, Make, Vercel ## Frequently asked questions **What does Them at Work do?** Them at Work is an enterprise AI services company. We deliver five practices: AI Business Automation, AI Product Development, Forward Deployed Engineering, Full-Stack AI Transformation, and Managed AI Agents. **How is Them at Work different from a typical AI consultancy?** We are practitioners, not slide-deck consultants. Engineers embed inside your organisation, ship working systems in weeks, and transfer full IP at handover. No lock-in. **How fast can you deliver a working AI system?** First automations and managed agents typically go live in days to weeks. Full operational engagements run on a 12-week timeline across discovery, design, build, and handover. **Do clients own what you build?** Yes. Clients own all code, models, pipelines, and documentation. We hand over complete IP at the end of every engagement. **What does a Managed AI Agent cost?** Managed AI Agents start at $1,500 to $3,000 setup plus $500 per agent deployment per month, including managed hosting, monitoring, maintenance, and updates. **What areas do you serve?** GB, EU, US, Worldwide. **How do clients get in touch?** Email hello@thematwork.com or use the contact form linked from any service page.