SERVICE · AI COPILOT
AI Copilot Deployment
A workplace assistant people actually use—wired into your internal knowledge, tools, and permissions, with every answer sourced and auditable, living right inside Slack, the browser, and the systems you already work in.
Move Your Copilot From Demo to Daily Work
Most companies that roll out an AI assistant get stuck in the same place: the demo dazzles, but after launch nobody uses it. The reasons are almost always the same three—answers hallucinate, teams won't feed it internal data for fear of leaks, and employees have to open yet another tool to use it. The result is a system gathering dust with zero ROI. The real problem was never that the model isn't smart enough; it's that the model isn't connected to your knowledge, doesn't respect your permissions, and doesn't show up where people already work.
Tenten AI treats the Copilot as an engineering problem, not a procurement line item. Our Forward Deployed Engineers (FDEs) embed on-site and work alongside your IT, legal, and business teams to connect the assistant to your knowledge base, ERP/CRM, document systems, and existing permission model. We build on a RAG architecture so every answer carries a clickable source link—when something's wrong, you can trace it back to the exact document and passage. Your data stays inside your VPC or designated cloud (Azure / AWS) and is never used for training.
Crucially, launch is the starting line, not the finish. We stand up a continuous evaluation loop—real questions, human labeling, and automated scoring—to quantify hit rate and hallucination rate, then iterate weekly so quality keeps improving after go-live instead of degrading over time. We ship a first usable assistant in roughly 5–6 weeks, so you prove ROI in one high-value scenario before scaling sideways.
Capabilities
01
Wired Into Your Knowledge and Permissions
Using a RAG architecture, we connect Confluence, SharePoint, Google Drive, Notion, ERP/CRM, and databases—and fully inherit your existing permission model, so users only ever see what they were already cleared to see. No cross-department leakage.
02
Every Answer Is Traceable and Auditable
Responses come with clickable source links and cited passages so employees can verify the original in one click. The backend keeps a full record of questions and citations, making compliance and internal audit straightforward and keeping hallucination risk firmly in check.
03
Lives Inside Your Existing Workflow
It embeds directly into Slack, a browser extension, and your internal systems—no new tab to open, no new interface to learn. The Copilot shows up exactly where people already do their work.
04
Connects to Tools and Takes Action
Beyond answering questions, it can check order status, pull a report, open a ticket, or kick off an approval—through secure, permission-scoped tool calls that extend the Copilot from finding information to getting things done.
05
Continuous Evaluation and Quality Loop
We build eval datasets, human labeling, and automated scoring to quantify hit rate and hallucination rate, then iterate prompts, retrieval, and guardrails weekly against real usage—so quality keeps climbing after launch.
06
Enterprise-Grade Data Governance
Deployed in your VPC or designated cloud, data never leaves your environment and never enters model training. We support SSO, audit logs, PII redaction, and SOC 2 / GDPR requirements—built to pass your legal and security review.
Use cases
Knowledge Assistant for Support Teams
Support reps ask 'what's the policy for this return case' right in Slack or the ticketing system, and the Copilot retrieves from product manuals, SOPs, and past tickets to give a sourced, consistent answer—cutting ramp time for new hires and lowering escalation rates.
Sales and Pre-Sales Knowledge on Demand
Reps pull product specs, competitive comparisons, pricing, and prior deal examples before a meeting. By tying together CRM and the internal wiki, pre-sales stops chasing colleagues for information and waiting on other departments.
Shop-Floor and Engineering Lookups
Field engineers query MES fault codes, equipment maintenance manuals, and quality standards. Connected to document systems and machine data, the Copilot makes senior technicians' know-how searchable and transferable.
Compliance and Risk Lookups
In finance and regulated industries, compliance staff query KYC/AML policies, internal rules, and the latest directives. The Copilot returns sourced answers and retains an audit trail, so every judgment call has a traceable basis.
HR and Internal IT Self-Service
Employees self-serve on leave policies, expense workflows, benefits, and IT FAQs. Drawing from HR policy and the IT knowledge base, the Copilot offloads repetitive internal questions from human help desks.
Supply Chain and Logistics Status
Operations staff use the Copilot to query shipment status, inventory, and order exceptions across TMS/WMS, turning information scattered across multiple systems into something you can get to in a single question.
Delivery cadence
WEEK 1
Scope the Scenario, Map the Data
FDEs embed with your team to pick the first high-ROI scenario, map knowledge sources, the permission model, and security boundaries, and define success metrics and how we'll evaluate them.
WEEK 2–3
Connect Knowledge and Build RAG
We complete data connections, permission inheritance, and RAG retrieval, wire in source citations and guardrails, and produce a first assistant ready for internal testing.
WEEK 4–5
Embed in the Workflow and Pilot
We embed the Copilot in Slack, the browser, or internal systems, invite seed users to test it for real, and tune retrieval, prompts, and hallucination guardrails against the eval data.
WEEK 5–6
Launch and Keep Evaluating
We open it to the target team, establish a continuous evaluation loop and a weekly iteration cadence, quantify adoption and ROI, and plan the sideways rollout to the next scenario.
5–6 weeks
To first launch
100%
Answers sourced and auditable
VPC
Data stays in your environment
FAQ
How do you handle AI hallucination?
We use a RAG architecture so answers are grounded in your actual documents rather than generated from thin air, and every answer carries a clickable source for one-click verification. We also add guardrails so that when there's no reliable basis to retrieve, the Copilot says 'I couldn't find it' instead of making something up. After launch, we quantify and steadily drive down the hallucination rate against an eval dataset, week over week.
Will our internal data leak or get used to train models?
No. The Copilot is deployed inside your VPC or designated cloud (Azure / AWS), so data never leaves your environment and never enters any model training. We support SSO, audit logs, and PII redaction, and we can meet SOC 2 / GDPR and similar compliance requirements—so your security and legal teams can fully sign off.
Won't this end up unused like the last tool we bought?
That's the risk we care about most, and it's at the core of the design. We embed the Copilot into the Slack, browser, and internal systems people already use, so they never have to open a new tool or learn a new interface. Combined with the trust that traceable sources create and the quality gains from continuous evaluation, that's what makes adoption actually stick.
How are permissions controlled? Can regular staff see executive data?
The Copilot fully inherits your existing permission model and applies the individual user's access rights at retrieval time, so they only ever see what they were already cleared to see. Cross-department or sensitive data won't leak just because someone asked the Copilot, and every retrieval and citation is logged for audit.
How fast do we see ROI, and how do we prove it works?
We ship a first usable assistant in roughly 5–6 weeks and deliberately focus on one high-value scenario so you get a measurable, evidence-backed result—lower support response time, shorter new-hire ramp, or fewer internal questions, for example. We define success metrics with you from week one and let the continuous-evaluation data make the case, not gut feel.
How is FDE on-site delivery different from a typical consulting rollout?
FDE means real engineers embed in your team to write the code, connect the systems, and tune the quality—not hand over a slide deck and leave. We work shoulder to shoulder with your IT, legal, and business teams on the hardest parts—data access and permissions—get the Copilot to a launch-ready state, and leave behind an evaluation mechanism you can keep iterating on.
A new era of
AI-native products
Ship your first AI use case in weeks, not quarters.