Starts on an event
A scheduled time, a fresh ticket, a CRM change, or an edited file can kick off the run.
We create private AI agents that draw on what your company already knows, link to the tools you have running today, and act only inside the approvals and boundaries you put in place.
Each agent we ship follows a single controlled path, from the trigger that starts it to the log of what it actually did.
A scheduled time, a fresh ticket, a CRM change, or an edited file can kick off the run.
Each step sits on the model that fits that piece of the run, and there's a fallback standing by. That way one vendor can't bring the work to a standstill.
Any action that would send, publish, or alter data waits until a person approves it, or until it matches a permission the team granted earlier.
Each run gets a predicted cost before it begins, and a hard ceiling on spend that it can't exceed.
Every run stores its outcome, the approvals it got, and what it cost. You can look back and see exactly what took place and why it took place.
ChatFuse designs and builds custom AI solutions around your data, systems, workflows, and controls. The result is a working business capability, not another product your team has to adapt to.
Each deployment starts with a specific business problem and is engineered around the result it needs to deliver.
The solution works with the data, software, approvals, and operating standards already in place.
Models and components can change as the market moves without forcing the business to start over.
Each rollout is a group of agents built for one specific problem in how you operate, the tools you already have running, and the outcome the company is after.
Connect the sources, decisions, and market context that teams need to answer questions and make informed decisions.
Connect to internal documents, tools, and systems so employees can find answers without digging across platforms.
Retrieve the right documents and combine them with verified, context aware responses grounded in business data.
Aggregate information from multiple sources, cross reference it with leading models, and produce executive ready insights.
Synthesize board materials, financial reports, and market data into strategic recommendations for leadership.
Connect people, decisions, and documents into persistent organizational memory that remains available across workflows.
Track competitors and market signals, then turn raw feeds into focused briefings for the people making decisions.
Coordinate models, people, and connected systems around the steps that need to happen consistently.
Coordinate multiple AI models to execute complex, multi step workflows across teams and departments.
Flag policy issues, risky language, and anomalies while preserving a clear record of how work was handled.
Monitor operating patterns, identify inefficiencies, and surface improvements for the business to review and apply.
Route requests to people, systems, or agents with the right priority, context, and escalation path.
Analyze model usage, latency, and performance to recommend the best model configuration for each workload.
Start AI workflows from business events such as tickets, CRM updates, document changes, or incidents.
Carry one brief, brand system, and approval process across the formats and channels a campaign requires.
Generate, edit, and repurpose content across formats using the right model and business context for each output.
Apply brand guidelines, approved language, and audience context consistently across AI assisted content.
Coordinate text, image, and video models to produce complete campaign systems from a shared brief.
Plan positioning, messaging, visual direction, channel content, and rollout steps from one launch brief.
Produce coordinated assets across paid, owned, and earned channels, including platform specific variants.
Translate identity guidelines into repeatable creative rules that can be applied across teams, formats, and campaigns.
Most AI agents get built for a single person doing things live. Business operations need agents that behave on day one hundred exactly the way they behaved on day one.
Get your models, the apps they plug into, and your review controls into one governed workspace.
Once an agent is published, it runs the exact build the team signed off on. Edits sit in draft until a person releases them.
When a new model shows up, you can add it. There's no need to rebuild the agent or teach your team a new way to work.
For each workflow, decide what it can know, what it may do, which models it uses, and where its actions stop.
When a run breaks halfway, ChatFuse won't redo a step that might already have been sent.
Coordinate AI capabilities across the software and operating systems the business already depends on.
Your systems do not need to change to fit ChatFuse. We design the solution around your existing data, software, infrastructure, security requirements, and internal APIs.
3,000+ established API connections are available when the solution needs them.
We connect to established, custom, and legacy systems without forcing a platform migration.
Data, models, workflow, and governance are designed together around the operating result.
Access, approvals, and action boundaries are part of the solution from the beginning.
Role based access controls with GDPR and HIPAA alignment, plus transparency into data flows, retention policies, and audit logs.
Visit our trust pageLeast privilege enforcement across the application.
AES-256 encryption at rest and TLS 1.3 encryption in transit.
Data access and administrative actions are recorded.
Custom systems are measured against the operating result they were built to improve.
An RIA managing over $1B in assets runs research and client communication through a custom ChatFuse deployment, with recordkeeping built for SEC and FINRA review.
A manufacturer measured 116% return on its deployment across quoting, documentation, and support, with every workflow running inside its own environment.
A pet health company lifted customer engagement 5x with a model agnostic assistant that can change with the model landscape.
A luxury ecommerce retailer returned 3.4x on its investment, pairing creative tooling with orchestrated product content at scale.
A media group runs orchestration across a portfolio of 35+ brands from one deployment, one system serving every masthead.
A consultancy firm built a new service line on ChatFuse that now carries $380,000 in annual recurring revenue.