Source: https://techwaves.ai/compare/techwaves-vs-traditional-consultancies techwaves vs Traditional consultancies # Beyond decks. Into daily work. AI should not end in a deck or an endless pilot. We bridge discovery and production with your people—and measure the business value. The difference ## The finish line is business value. A strategy deck will not change the business on its own. Our focus is AI in production, used by your people, with quality, adoption and ROI measured against a clear baseline. ### Traditional consultancies A roadmap, recommendations or a pilot. Your team still needs a path into daily operations. **The usual deliverable** A strategy, a deck or a proof of concept. **The gap to close** Production, adoption and ROI still need an owner. ### techwaves Working AI, built with your people. A clear baseline. A path to measurable ROI. - Put AI into production, beyond the pilot. - Build adoption into the work. - Measure what the business actually gains. [See how the AI Sprint works ↗](https://techwaves.ai/ai-sprint) The path to value ## Discover. Put into production. Measure. 01 Discover ### Find the value. Map one workflow with its people. Set the baseline. 02 Put into production ### Build it. Use it. Connect the tools, handle exceptions and put your team in control. 03 Measure value ### Make it count. Track quality, adoption and cost. Put released capacity to useful work. Productivity is a signal. Business ROI is the goal. We focus on more revenue or lower costs, measured against a clear baseline and after implementation, running costs and human review. Side by side ## The difference, in practice. Compare the work, the ownership and the evidence. On a phone, swipe the table sideways. techwaves versus Traditional consultancies comparison table techwaves vs Traditional consultancies | What matters | Traditional consultancies | techwaves | | --- | --- | --- | | Starting point | Interviews, assessment and a strategy deck. | One workflow, its people and a measurable baseline. | | Main deliverable | Recommendations, roadmap or proof of concept. | A tested workflow built for real operations. | | Production | Can mean another phase, team or delivery partner. | Integrations, permissions and exception handling in the agreed scope. | | People & adoption | Training and change can become separate workstreams. | Employees help shape, test and run the workflow. | | Evidence of value | The milestone can be a completed deliverable. | Quality, repeated use and ROI—not the number of demos. | | After launch | Measurement and support depend on a further scope. | Review performance and improve with agreed ongoing care. | This compares advice-led engagements with our implementation approach. Services vary by consultancy and contract; some firms also implement and support. ## A few useful answers. ### How do you measure ROI? We agree a baseline and success measures before building, then compare live results with total delivery and running costs. Time saved is capacity; financial value depends on how the business uses it. ### Do you stop at a prototype? A prototype helps test a choice. The implementation scope sets what must reach production, how people will use it and what evidence counts as acceptance. ### Do you replace our people or tools? We build with the people doing the work and start with existing systems. They keep the judgment, oversight and ability to stop or correct the workflow. ### Sources & comparison approach Written by techwaves. Vendor descriptions use official documentation. The consultancy comparison addresses advice-led engagements; firms and contract scopes vary. - [How our AI Sprint works](https://techwaves.ai/ai-sprint) - [Our guide to AI strategy](https://techwaves.ai/resources/what-goes-into-an-ai-strategy) Your next step ## Make AI useful. Then make it count. Bring one workflow. Let’s look at what it could change, what it needs and how to measure it. [Talk through your use case](https://cal.com/meeting-techwaves/30min?theme=light) [Explore the AI Sprint ↗](https://techwaves.ai/ai-sprint)