AI-enhanced business process automation. Combines rules with intelligent decision-making.
45 implementations across 16 industries
Think of a smart city as a city with a digital nervous system. AI is the brain that helps it see traffic jams, power usage, crime hotspots, and public service demand in real time, then quietly adjusts lights, signals, and services to keep everything running smoother and safer.
This is like giving your supply chain a smart autopilot: it constantly watches demand, inventory, and logistics, then suggests or triggers the best moves—what to buy, where to store it, and how to ship it—so you don’t run out of stock or waste money on excess.
This is like giving your network’s AI "eyes and ears" everywhere so it can safely act on its own. Instead of many separate monitoring tools, you get one unified view of how the telecom network is behaving, so autonomous AI agents and automation workflows always have the full picture before they make changes.
Think of Tektonic AI as a smart RevOps assistant that constantly cleans up your CRM, fills in missing details, and automates routine sales operations work so reps can focus on closing deals instead of fixing Salesforce fields.
This is like a smart, always-available hospital receptionist that understands what patients need, checks doctor calendars, insurance rules, and clinic constraints, and then finds and books the best possible appointment slot automatically.
Think of a telecom network as a city’s road system. Today, every new business idea (self-driving cars, smart factories, telemedicine) needs new “lanes” and “traffic rules.” AI-enabled network transformation is like upgrading the city with smart, self-managing roads that automatically open new lanes, reroute traffic, and prioritize ambulances over commuters. This lets telecom operators quickly create and sell new digital services without rebuilding the whole road system each time.
This is like giving your supply chain a smart GPS and weather system that constantly looks ahead, finds the fastest and safest routes for parts and materials, and automatically reroutes when there’s a disruption (factory shutdown, port delay, raw‑material shortage).
This is like giving your factory a smart air-traffic controller that constantly looks at all your machines, workers, and orders, then automatically decides the best sequence of jobs so everything ships on time with minimal idle time and overtime.
Think of this as a smart sales assistant that writes and sends your outreach and follow‑up emails for you, based on your lead lists and CRM data, so reps don’t have to type the same messages over and over.
This is like giving an insurance claims department a smart co‑pilot: software that reads claim information, suggests next steps, and automates routine work so human adjusters can focus on complex cases and customers.
This is like giving your fleet operations team a smart assistant that watches vehicle data, schedules, and driver information all day, and then suggests how to run trucks more efficiently, keep them healthier, and support drivers—without needing a human to stare at dashboards all the time.
This is like giving your factory a super-smart planner that constantly looks at all your orders, machines, and workers, then reshuffles the schedule in real time so everything gets done on time with the least waste and disruption.
This is like giving a traditional factory a smart brain that watches operations end‑to‑end, predicts issues before they happen and recommends what to do next, all built into the existing IFS manufacturing/ERP workflow.
This is like a GPS for your entire fleet and workforce that doesn’t just find a route, it decides who should go where, in what order, and when—automatically juggling traffic, time windows, driver hours, and costs to build the best possible plan.
Think of the future transport system as a giant, city-wide brain. Instead of each car, bus, or train acting on its own, AI watches traffic, weather, demand, and incidents in real time and then orchestrates everything—routes, signals, pricing, and even maintenance—so people and goods move faster, safer, and cheaper.
Think of this as a control tower that uses AI to watch over all your IT systems, predict issues, and help fix them automatically before they impact customers.
Think of this as giving your city or state government a smart digital coworker who never sleeps. It reads forms, routes requests, answers routine questions from residents, and helps frontline staff find the right information instantly — so people spend less time in lines or on hold and more time getting actual help.
Think of it as an always-on, super-organized digital operations manager for a hospital that watches bed usage, staff schedules, and equipment in real time, then suggests (or takes) actions to place patients, assign staff, and deploy resources more efficiently.
This is a blueprint for turning today’s hospital workflows from paper-and-phone based routines into a mostly digital, AI-assisted assembly line for patient care. Think of it as redesigning how doctors, nurses, and staff work together so computers do the repetitive checking, routing, and documentation, while humans focus on medical decisions and patient interaction.
Think of this as a smart coordination and decision-support system for police and crisis teams: it watches information streams, flags risks, and routes the right help (officers, clinicians, social workers) faster and more safely.
This is like having a smart sales assistant that reads a prospect’s details in HubSpot and then drafts a personalized outreach email in Gmail for you, so reps just review, tweak if needed, and send.
This is like having a super-smart app developer sitting next to you while you describe what you want in plain English. You say the ‘vibe’ of the app – who it’s for, what it should roughly do – and the AI fills in the technical details, wiring screens, data and logic so a working app appears much faster than with traditional coding.
This is like having a tireless digital sales assistant that watches your leads across tools (CRM, email, LinkedIn, forms), decides who to follow up with, and sends the right message at the right time without reps having to do it manually.
This is like giving your sales team a smart assistant that automatically fills in and updates CRM records by searching the web and business tools for missing details about leads and accounts.
This is like giving your IT operations team a smart autopilot: it continuously watches all your systems, spots issues before they become outages, and automatically takes many of the routine actions a human operator would—only faster and at much larger scale.
Think of Cohesion as a digital command center for large office or mixed‑use buildings. It connects elevators, HVAC, security, access control, and occupancy data into one intelligent system so building operators can see what’s happening in real time and let software make many of the small adjustments people used to make manually.
Think of a large office building as a living body. In the past, the heating, cooling and lighting were like organs running on fixed schedules, whether people were there or not. AI turns the building into a “smart body” that can sense where people actually are, how hot or cold it is, what energy costs right now, and then automatically adjusts everything in real time to stay comfortable while using far less energy.
Think of a huge telecom network like a busy, complex city traffic system. Today, human engineers are the traffic cops, constantly tweaking lights and routes to keep everything moving. AI‑native autonomous network management is like upgrading to a smart city where sensors and AI automatically detect jams, reroute cars, repair issues, and optimize flows in real time, with humans supervising instead of micromanaging every intersection.
This is about using open source AI tools as a smart control room for IT operations: the AI watches logs, metrics, and alerts from your systems, spots issues early, and can even fix some of them automatically—without needing an army of engineers staring at dashboards all day.
This is a playbook for getting your software teams ready to use AI as a smart co‑pilot—helping them write, review, and test code faster—rather than replacing them.
This is a playbook from AWS for running your IT operations with a ‘smart autopilot.’ It explains how to use AI to watch logs, metrics, and alerts so it can spot problems early, suggest fixes, and sometimes even act automatically—before users notice something is broken.
This is like giving a state or city transportation department a super-smart control room and planning assistant. It watches traffic, roads, bridges, and transit in real time, predicts problems before they happen, and suggests the best ways to fix them or keep things moving safely and efficiently.
This is like a supercharged planning sandbox for delivery routes and vehicle schedules: you can try different ways of assigning trucks and drivers to trips on a computer, see how each plan performs, and then pick the best one before you spend real money on the road.
Think of this as a digital control tower for a mine: it watches what’s happening with trucks, shovels, and processing plants in real time, uses AI to spot issues or inefficiencies, and then suggests or triggers actions to keep production on track and costs down.
Think of Salesforce as a digital command center where all your customer information, sales activities, and marketing efforts live in one place — and now it has an AI copilot that recommends who to call next, what to say, and automates a lot of the busywork.
Think of a modern power utility as an enormous, complex train set: thousands of tracks, switches, and trains (power plants, lines, and customers) all moving at once. AI is like a smart traffic controller that watches everything in real time, predicts where problems will happen, and automatically reroutes and reschedules to keep the system running safely, cheaply, and reliably.
This is like a smart air-traffic controller for a factory: it looks at all your orders, raw materials, machines, and people, then constantly rearranges the schedule so everything runs smoothly, on time, and at the lowest cost.
Think of this as a smart digital receptionist for your support team. It reads incoming customer issues, asks the right follow‑up questions, fills in ticket details correctly, and routes them to the right place—without needing a human to touch every single request.
This is a big-picture review of how modern software, sensors, automation, and AI are changing mines—from how ore is found and extracted to how equipment is run and energy is used. Think of it as a roadmap showing how a traditional mine can become a data-driven, semi-autonomous factory under the ground and in open pits.
Think of this as putting a smart autopilot and safety system on large mines. Sensors, maps, and AI work together so trucks, shovels, and drills move in the safest, most efficient way possible, with far less manual oversight.
Think of this as a ‘digital co-pilot’ for factories, retailers, and consumer brands that helps people decide what to make, where to put it, and how to sell it, using data from across the business. Humans still drive; AI just keeps suggesting the fastest, safest route and flags issues before they become problems.
Think of it as a smart digital claims clerk that reads all the forms, emails, photos, and reports, then does most of the claim processing work automatically so humans only handle the tricky edge cases.
Imagine your entire IT environment—servers, networks, apps, cloud services—constantly watched by a smart assistant that never sleeps. It reads all the logs, alerts, tickets, and performance data, spots early warning signs, figures out what’s really important, suggests fixes, and in many cases can trigger automated responses before users even notice a problem.
This is like giving your merchandising and planning team a super-smart assistant that constantly watches sales and stock levels across all channels, then tells you exactly what to move, discount, or reorder so you don’t run out of winners or get stuck with losers.
This is like giving a car factory an always‑on air-traffic controller that watches every step of production in real time, finds bottlenecks and waste, and then suggests the fastest, cheapest way to keep parts and cars moving.