Knowledge ingestion
Connectors for SharePoint, Confluence, Drive, Zendesk, S3 and databases with incremental sync and permission mirroring.
Product · AI & Automation
A governed enterprise assistant grounded in your own knowledge.
Deploy a retrieval-grounded assistant across intranet, support desk and customer channels — with citations, guardrails, analytics and full control over which model answers which question.
68%
First-contact resolution
< 2s
Median response latency
40+
Connectors out of the box
Modules
Modules are licensed independently. Most clients start with two or three and expand as the first phase proves out.
Connectors for SharePoint, Confluence, Drive, Zendesk, S3 and databases with incremental sync and permission mirroring.
Hybrid vector and keyword search with reranking, metadata filters and per-user access enforcement at query time.
Route by intent, cost and sensitivity across Claude, Azure OpenAI, Gemini and self-hosted open models.
PII redaction, topic policy, jailbreak detection, refusal behaviour and human-escalation triggers.
Scoped actions — raise a ticket, look up an order, book leave — executed through audited API calls.
Answer quality scoring, unanswered-question mining, cost per conversation and satisfaction trends.
Capabilities
Implementation
A predictable path. Most single-entity deployments complete in four to eight weeks depending on integration count.
One day mapping your process against the platform. Output is a configuration blueprint and an honest gap list.
A working environment loaded with a slice of your real data so evaluation is concrete rather than hypothetical.
Workflows, roles, forms, templates and integrations configured to the blueprint — with gaps built as extensions where justified.
Profiling, cleansing, dry runs and reconciliation reports signed off before any production load.
Role-based training, UAT, cutover runbook and hypercare staffing through the first cycle.
SLA-backed support, quarterly reviews, release upgrades and a documented enhancement path.
Production-grade generative AI, applied ML and autonomous agents — governed, evaluated and observable.
Lakehouse platforms, ETL/ELT pipelines and governed analytics that turn scattered systems into one trusted layer.
Migration, cloud-native engineering, Kubernetes, FinOps and resilience across AWS, Azure, Google Cloud, Oracle and IBM.
Product enquiry
We will load a representative slice of your data into a sandbox so you can evaluate against your real process. No generic demo tenant.