Big Disillusion
While the entire industry is investing heavily in developing LLMs that beat humans in reasoning tasks, their performance when using tools still often remains far below human efficiency.
Existing integrations are
not suitable
for AI use
Data and actions are
not accessible
to AI agents
As much as
75% of the costs
goes to
filling the gaps
in digital transformation
Agents
struggle with real-world use cases
resulting in a low goal completion rate
Builders need to get involved in the
tedious
and, often
futile
process of fine-tuning the solution
Choosing integration solution
is a strategic move
Organizations can dramatically improve AI agent performance by selecting tool integration methods that align with both speed and accuracy goals, rather than relying on time-intensive or legacy approaches.
Scale AI agents to all directions.
No dev time needed
Capabilities
1 -> ∞
CRM, accounting, HR, or CX—your AI agent can learn to use any external tool by interacting with it.
Accuracy
41 % -> 86 %
Our tooling solution strives for baseline accuracy of 80%. High accuracy is achieved by utilising an operational knowledge of the target system, domain expertise and loaded context.
Dev time
12 hr -> 1 hour
After adopting AI-native stack, adding more tools takes less time than writing a Jira ticket for it.
Superface is Recognized by Gartner for our Intelligent, Autonomous Agent Capabilities
“Superface moved me three months ahead in just an hour. Now I can add any tool in 15 minutes and my users can start using it immediately — that’s real customer success.”
Prokop Simek
CEO & AI Agent Developer
DXHeroes.io
Find the integration
strategy that
scales with you
Book a free expert session to discuss your specific needs and goals and identify most valuable opportunities & integration bottlenecks.