# Rebuilding companies into AI‑native businesses > Twistag is an applied AI company in Lisbon. It builds AI agents, data platforms and AI-native products for mid-market and enterprise companies worldwide. Twistag is an applied AI company. We design, build and run the agents and data systems that take on real operational work. ## AI-native companies do more with the team they have. Twistag works with leadership to rebuild how work gets done. Agents take the volume, people keep the judgement, and the business grows without headcount growing at the same pace. - Margins that hold as volume grows - Decisions made on today's numbers - Teams focused on customers and judgement - Capacity added in weeks - Systems the company owns outright Twistag designs, builds and runs it alongside leadership, one proven workflow at a time. ## A decade of systems companies run on every day. - Partner Most of what a company spends goes on work that moves between people and systems: reading, checking, matching, chasing. AI can now carry much of that work. Making it hold up inside a real business, with real data and real accountability, is what we do. ## Where the work changes first. ### Invoices that match themselves. An agent reads every supplier invoice, in any format, and matches it to orders and receipts in the ERP. The finance team sees only the exceptions. ### Staffing planned against real demand. Occupancy forecasts move people between nearby sites before outside agencies are called. Managers approve the plan; the agent does the arithmetic. ### Replies drafted in the company's own voice. Every message is classified, the account pulled up and a reply drafted against house guidelines. A person approves it in one click. ### Every launch checked, market by market. Ingredient and label rules are applied country by country, with each finding tied to the regulation behind it, before a product ships. ## One team, from the data up. AI projects stall in the gaps between vendors. We cover the full path, so nothing waits on a handoff. ### AI & Agents Agents that plan, decide and act across company workflows, with people approving what matters and every decision traced. - Agentic workflows - Multi-agent systems - Search over company knowledge - Human review steps ### Data & Cloud Data platforms agents can actually read: clean, current and connected to the ERP and CRM, on infrastructure the business controls. - Data platforms and pipelines - Data lakes and warehouses - Data governance - ERP and CRM integration ### Product Engineering AI-native products and internal tools, and the platforms around them, designed, shipped and run by the same team. - Web and mobile products - Internal tools and portals - API design - Legacy modernisation ## Find the work closest to the challenge. Answer two questions to see the most relevant project, service and reading. ## Commitment grows only after proof. The first two steps are small and fixed in time. Scale starts once the number agreed with leadership has moved. - 01 · 2 weeks Find the workflow Map where work waits, what fixing it is worth and which number will prove it, with the people who run the process. - 02 · 6–8 weeks Prove it One workflow rebuilt around agents on real data, and tested against that number before anything scales. - 03 · Quarters Scale it Each new workflow builds on the same foundation, so every one ships faster than the last. - 04 · Ongoing Run and hand over Improved from real use, then handed over. Code, models and tests stay in the company’s own cloud. - In place in weeks.A senior team starts on the first workflow 2–4 weeks after signature. - Kept by the company.Code, models, prompts and tests run in its own cloud, free to take in-house. - Free to switch models.Each task uses whichever model passes its test at the lowest cost. - Measured in business terms.Every workflow reports against the number agreed with leadership. Strategy already set and a partner needed to build it? ### Three ways to bring Twistag into a plan that is already set. #### A senior team inside the programme. Best forHeads of engineering or innovation with an approved roadmap and too few senior people to deliver it on time. - Engineering, data and product lead - Works in the client’s tools and rituals - Sized up or down each quarter #### One system, delivered to spec. Best forProgramme leads with a clear spec, a budget and a deadline, who need one system built and handed over. - Fixed price and delivery date - Acceptance tests agreed up front - Code and models handed over in full #### AI engineering on a monthly plan. Best forProduct and tech teams with a steady queue of smaller AI builds and no case for a full-time hire. - One monthly fee - Requests turned around in days - Pause or stop at any time ## Built for the companies that keep things running. - 01 Manufacturing See the agents → - 02 Logistics & supply chain See the agents → - 03 Hospitality & travel See the agents → - 04 Retail & consumer See the agents → - 05 Financial services See the agents → - 06 Healthcare & life sciences See the agents → - 07 Utilities & public sector See the agents → - 08 Software & platforms See the agents → Choose a sector to talk to the team that works in it. ## Our thoughts on AI, data and product. Short, practical reading on putting AI to work, from the team doing it every day. All thinking ### The AI-Native Playbook for Enterprises How leadership teams choose the first workflows, prove the value and scale AI across the business. Written from Twistag engagements. ### Five engineering reasons AI agents fail in production ### Cut process complexity before you add AI agents ### How long does it take to ship an AI agent to production? ### One email a month on what is working with AI inside real companies. ## Before the first call. How quickly do results show up? What does an engagement cost? Who owns the code, the models and the data? What if the proof doesn't move the number? Will our own team be able to run it? ## Bring AI into the work of every team. A conversation on where agents add capacity, what it takes to build them, and which number shows it is working. A senior lead replies within one working day. --- Source: https://twistag.com/