Put artificial intelligence to work for your business.
AI is only valuable when it solves a real problem. We help you cut through the hype and ship AI features that genuinely save time, reduce cost and create new capabilities — built responsibly and integrated into your products.
Everyone is talking about AI, but most projects stall in endless demos. You need use cases that pay off — not experiments — and a partner who knows where AI genuinely helps and where it does not.
Put artificial intelligence to work for your business.
Token prices keep falling, yet AI bills keep rising. Six patterns explain why — and each has countermeasures. Four of the six are architecture and process questions, which is why AI cost control is management work, not a procurement detail.
up to ~1,000×
AI models are stateless — agents resend the growing history in full with every step, so agentic tasks can cost up to ~1,000× more tokens than a simple chat.
Countermeasures: Prompt caching, context hygiene, prefer single-turn where possible.
~60 %
The first answer is not the expensive part — checking, repairing and re-verifying it afterwards is. Around 60 % of an agent task’s cost sits in refinement.
Countermeasures: Invest up front, verify with cheap models or fixed rules, measure the rework rate.
up to 30×
The same job can cost wildly different amounts depending on the path the agent chooses — same task, up to 30× cost difference per run.
Countermeasures: Set stop rules, dose autonomy, monitor the outliers — budget the distribution, not the average.
overhead
Defaulting to the strongest model for everything is pure overhead on simple tasks — expensive reasoning belongs where decisions are made, not in routine work.
Countermeasures: Fix the model per use case, cap the thinking budget, frontier models only where they change the outcome.
paid repeatedly
How work is split across agents, tools and middleware changes the bill dramatically — the same tokens are often processed and priced several times on their way to the model.
Countermeasures: Cost the full run, keep handovers lean, use few middleware layers.
−30–40 %
How information is phrased and formatted determines the token count — identical content, up to 30–40 % savings through tight, structured inputs and outputs.
Countermeasures: Write tightly, use structured formats, make costs visible per run.
Cost drivers after McKinsey & Company · countermeasures: NoviCogi · Read the study
Download the infographic (PDF)Tell us where you want to go. We'll help you get there with software that performs.
