The unified agentic AI platform for back-office automation and customer support by voice and chat, deployed with our engineers.
Reconciling settlements
Reconcile September card settlements with the ledger and flag breaks over $1,000.
September breaks report
Posts to the ledger once finance ops approves.
Inbound call, card services
“My card was declined in Madrid. Can you fix it before my flight?”
“Done. Your card works in Spain until your return on October 14.”
1m 52s, no handoff, traced
Alert A-2307, transaction monitoring
Triage alert A-2307: unusual transfers to a new counterparty.
Recommendation: close, not suspicious
Transfers match the customer's declared supplier payments. Every step is traced.
Building a document
Compare Q3 loan volumes with last year and draft a one-page board summary.
Q3-loan-volumes-board.docx
1 page with a chart and summary, ready to share
Trusted by teams at
Technology partners
Dynamiq gives banks, governments and enterprises sovereign AI: agents on your infrastructure, with the models you choose, under your rules.
Loan operations, reconciliations, payment exceptions and reporting, with approval gates before anything posts.
What it moves
Voice agents answer your phone lines and chat agents your website and apps; the rest goes to a person, with the transcript kept in the trace.
What it moves
In production: An Asian neo-bank automated about 85% of support inquiries and went live in 30 days.
Read loan files, claims and contracts, check them against your rules, and flag exceptions for a reviewer.
What it moves
Triage alerts, track regulatory change and draft reports, with a record your auditors can follow.
What it moves
Evidence gathered
Drafted disposition
Escalate for suspicious activity review: volume nine times the customer profile, funds routed through new jurisdictions.
Ask your documents and databases in plain language, and get cited answers, charts and HTML reports, on demand or on a schedule.
What it moves
In production: A B2B accounting platform shipped document search in one week with one of our engineers.
What changed in our servicing policy this quarter?
Two changes apply from July 1. Escrow shortage notices now go out 30 days earlier1, and forbearance requests longer than 90 days need a second reviewer2.
The platform
from dynamiq.connections import Anthropic as AnthropicConnection
from dynamiq.connections import Tavily as TavilyConnection
from dynamiq.nodes.agents import Agent
from dynamiq.nodes.llms import Anthropic
from dynamiq.nodes.tools.tavily import TavilyTool
agent = Agent(
name="research-agent",
llm=Anthropic(
connection=AnthropicConnection(),
model="claude-sonnet-5",
),
tools=[TavilyTool(connection=TavilyConnection())],
role="Research assistant that answers with current sources.",
)
question = "What did central banks decide this week?"
result = agent.run(input_data={"input": question})
print(result.output["content"])
Deployment
The same platform runs in Dynamiq Cloud, your own cloud account or on-prem, with open models you host. Isolated setups are delivered with our engineers.
Dynamiq Cloud
Managed by us. Fastest way to start.
Your cloud
AWS, Azure, GCP, IBM Cloud or OpenShift, in your account.
Your data center
Any Kubernetes 1.32+ cluster you run.
Isolated
Delivered with our engineers for environments with no outside access.
Step 1
A working agent on your data, with success criteria agreed up front.
Step 2
Built, tested and hardened with your team, evals first.
Step 3
Your team owns the agents, the code and the playbook.
Time to production
30 daysto put an Asian neo-bank's support agent into production
1 weekfor one engineer to ship document search at a B2B accounting platform
Traced and replayable
Every run is recorded step by step, with inputs, outputs, cost and latency.
Approval gates
Sensitive steps wait for a reviewer, who can edit fields before approving.
Guardrails
Detect PII and prompt injection before data reaches a model.
SSO and roles
Sign in with your identity provider on Enterprise, with projects, roles and retention controls.
Inside your perimeter
Self-host in your cloud or data center, with the models you approve.
The agent will update loan file 20417 in the loan system. Review the values it will send.
Reason for rejecting (optional)
Tell the agent what to do differently…
Customer service, KYC and AML triage, and lending document review.
Policyholder service by phone and chat, and claims files prepared for adjusters.
Citizen services and analysis with human oversight, on infrastructure you control.
Voice and chat care at scale, in your customers' languages.
Patient intake and document workflows with PII detection and private endpoints.
How a three-agent legal research workflow on IBM watsonx routes every question by cost: Granite triages, deep research runs only when needed, all traced.
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Bring a process and its documents. Our engineers will show you how Dynamiq runs it, in your environment or ours.
