Unified Search & Assistant
One front door across every connected app — the answer, wherever it actually lives, grounded in your company's own data.
Gemini Enterprise
Gemini Enterprise is Google's platform for the agentic era — and we don't arrive empty-handed. Our repository holds 140 ready-to-deploy AI agents across 14 departments, templated and config-driven, wired into your stack through 80+ premade connectors. We roll it out, put agents on the busywork, and drive the adoption that makes it stick.
The point of it all
Chat assistants answer questions. Agents finish work — they plan, call your systems, and carry a task from "someone should do this" to done. Gemini Enterprise gives your company one governed place to search everything, build agents in plain language, and run them safely at scale. Our job is what happens next: aligning it with your real business goals, connecting it cleanly to the systems and permissions you already have, deploying the right agents from our repository, building the ones that are uniquely yours — and doing the unglamorous, decisive work of training and change management that turns a rollout into a genuine AI transformation.
What you get
One front door across every connected app — the answer, wherever it actually lives, grounded in your company's own data.
Describe a multi-step workflow in plain language and Agent Designer builds the agent — no engineers required, governance included.
For the hard problems: multi-agent systems built on Google's Agent Development Kit, deployed on Vertex AI Agent Engine, Cloud Run or GKE.
140 enterprise agents across 14 departments — built once, templated, config-driven. Pick one, point it at your systems, go live.
Jira, Salesforce, SharePoint, ServiceNow, Slack and dozens more — out of the box, with new connectors landing regularly. Where one's missing, we build custom MCP servers.
Agents honour your existing permissions, carry their own identity, run behind guardrails and human approvals — with observability over every action.
The Wohlig Agent Repository
Built once, templated, and config-driven — every agent below plugs into your stack with minimal customisation: we point it at your data sources, tune it to your policies, and it goes to work. Browse by department, or search for the task you want off your plate.
Search, meetings, email, docs, travel — the busywork every employee shares.
A single conversational front door that answers any employee question by searching across the company's connected apps and documents with.
Turns meeting transcripts and recordings into structured summaries, decisions, and assigned action items.
Drafts on-brand email replies, summarizes long threads, and triages the inbox by priority so employees clear email faster.
Finds meeting times across attendees, books rooms, and negotiates reschedules across time zones without back-and-forth email.
Generates first-draft documents, memos, and data-backed reports in Google Docs/Sheets from a brief plus grounded company data.
Turns a topic, doc, or dataset into a formatted, on-brand slide deck with speaker notes in minutes.
Translates documents, chats, and emails between languages while preserving tone, formatting, and company terminology.
Plans and books policy-compliant business travel and then auto-assembles the expense report from receipts and card data.
A single help desk that understands any HR, IT, or policy request and routes it to the right specialist sub-agent to answer or take action.
Runs multi-source research combining internal knowledge and the open web into a structured, cited briefing on any topic.
Guides new employees through their first weeks by answering questions, tracking onboarding tasks, and coordinating setup across HR and IT.
Deflect, triage, assist and retain — agents across the whole support funnel.
Conversational front-line assistant embedded in web/app/help-center chat that resolves common customer questions and how-to requests end-to-end.
Event-driven agent that classifies every inbound ticket by intent, product area, priority and language.
RAG-based Q&A agent that answers customer and agent questions strictly from approved knowledge sources with citations, keeping responses accurate.
Real-time copilot in the agent desktop that listens to the live conversation, surfaces suggested replies, next-best actions and relevant KB snippets.
Event-driven monitor that scores sentiment and frustration/risk on live and open tickets, detecting churn-risk language.
Scheduled agent that auto-scores support transcripts and calls against a QA scorecard and compliance policy.
Scheduled analytics agent that combines product usage, support history, sentiment and billing signals into a health score.
Agent that assembles renewal and Quarterly Business Review briefs by aggregating account activity, support/health data.
Scheduled agent that mines tickets, survey verbatims, reviews and chat logs to cluster themes.
Event-driven agent that detects incidents/outages, drafts and publishes customer-facing status updates, and proactively notifies affected accounts.
From first touch to renewal — pipeline that moves itself forward.
Scores, qualifies (BANT/MEDDIC), and routes inbound leads and form fills in real time.
Continuously audits CRM records for missing, stale, or duplicate data and auto-fixes or proposes corrections to keep the pipeline clean and reportable.
Generates a one-page pre-call briefing for any upcoming meeting: account context, attendee bios, open opportunities, recent news.
Assembles customer-ready proposals and price quotes from opportunity data, product catalog, and approved pricing/discount rules.
Drafts answers to inbound RFPs, RFIs, and security questionnaires by retrieving from an approved answer library and company knowledge base.
Orchestrates non-standard deal review: checks pricing/terms against policy, gathers required approvals with human-in-the-loop.
Conversational analytics over pipeline and CRM data — answers forecast, coverage, and health questions in natural language and generates a weekly.
Drafts personalized follow-up emails and manages multi-step outreach cadences after meetings and at key opportunity milestones, keeping deals moving.
Monitors competitors and market signals, maintains battlecards, and answers 'how do we win against X' questions with fresh, sourced positioning.
Tracks upcoming renewals, computes churn-risk from usage and engagement signals, and prepares renewal plays for CSMs and account managers.
Analyzes recorded sales calls to extract insights, MEDDIC signals, and objections, and delivers personalized coaching feedback to reps and managers.
Content, campaigns, SEO and insights — produced and measured by agents.
Generates on-brand marketing content — blog posts, landing-page copy, ad variants, product descriptions, and social captions — from a brief.
Performs keyword research, SERP and competitor gap analysis, and on-page optimization recommendations.
Answers natural-language questions over marketing performance data, builds cross-channel attribution and ROI reports.
Plans, drafts, schedules, and publishes social content across channels, and monitors engagement and brand mentions to recommend timely responses.
A conversational front door to the customer's brand and creative library, letting teams find the correct, on-brand, rights-cleared logos, templates.
Continuously tracks competitor moves — pricing, product launches, messaging, campaigns.
Synthesizes internal and external sources into cited market-research reports — TAM/segment sizing, trend analysis.
Designs and operates lifecycle email/nurture programs — drafting sequences, defining segmentation and triggers, personalizing content.
Supports the full event lifecycle — promotion content, registrant Q&A, reminders, follow-up sequences.
Adapts marketing content across languages and markets — not just translating but transcreating for local tone, idiom.
Monitors paid ad accounts across networks, flags underperforming campaigns, recommends bid/budget/creative changes.
AP, AR, close, forecasting and controls — the back office on autopilot.
Ingests supplier invoices from email and shared drives, extracts line-item data, performs 2-way/3-way matching against POs and goods receipts.
Monitors the accounts-receivable aging ledger, prioritizes overdue accounts by risk and value, drafts and sends tiered dunning communications.
Audits employee expense reports against corporate T&E policy, receipts, and tax rules; auto-approves clean reports and escalates suspicious or.
Orchestrates the financial close checklist, performs automated account and bank reconciliations, drafts recurring journal entries.
Analyzes budget-versus-actual performance across departments, explains material variances in plain language.
Consolidates and classifies enterprise spend across ERP and procurement systems, identifies savings opportunities, maverick spend.
Manages supplier onboarding, validates vendor master data, screens for duplicates and risk.
Builds short- and medium-term cash-flow forecasts by combining AR/AP schedules, bank balances, and payroll.
Assembles recurring management and board reporting by pulling numbers from the warehouse, generating narrative commentary.
Supports internal controls and SOX compliance by testing control samples, gathering evidence, detecting policy exceptions.
Prepares indirect-tax (VAT/GST/sales-tax) filings by validating transaction tax codes, reconciling tax accounts.
Hire, onboard, answer and support — people ops without the queue.
Conversational self-service assistant that answers employee questions about HR policies, benefits, PTO rules, payroll.
Screens inbound applications against job requisitions, scores and ranks candidates on structured criteria.
Automates end-to-end interview scheduling by finding mutual availability across interviewers and candidates, booking calendar events.
Long-running agent that drives new-hire onboarding across systems — provisioning tasks, document collection, training assignments.
Coordinates employee exits — running the offboarding checklist, revoking system access, recovering assets, scheduling exit interviews.
Helps employees understand and act on leave entitlements and benefits — checking balances, explaining eligibility, initiating leave/benefit requests.
Supports managers and employees through review cycles by drafting self-assessments and feedback, synthesizing peer input.
Recommends personalized learning paths and courses based on an employee's role, skills gaps, and career goals, and enrolls them in the LMS.
Scheduled analytics agent that analyzes engagement and pulse-survey results, detects themes and sentiment trends.
Drafts, standardizes, and de-biases job descriptions and requisitions from a hiring brief.
Classifies inbound HR cases and employee relations tickets, prioritizes by urgency and sensitivity, routes to the correct team.
Tier-0 deflection to major-incident comms — the service desk, agentified.
Conversational front door to IT that answers common how-to and troubleshooting questions from grounded knowledge and, when it can't resolve.
Runs on every newly created incident/request to classify, prioritize, deduplicate, and route it to the correct assignment group.
Self-service agent that verifies identity and performs password resets, MFA re-enrollment.
Handles requests for application access, group membership, and role entitlements end-to-end: recommends the right access, routes approvals.
Fulfills software install and SaaS-seat requests: checks entitlement and license availability, handles approvals and cost center.
Manages device lifecycle requests — new laptop/peripheral orders, replacements, repairs.
Grounded Q&A over IT documentation with security-trimmed retrieval, plus a curation mode that flags stale, duplicate, or missing KB articles.
Multi-agent orchestrator that turns a new-hire event into a fully provisioned Day-1 setup across identity, accounts, licenses, device, and access.
Watches monitoring/alerting streams, performs automated first-response diagnostics on infrastructure incidents.
During and after major incidents, drafts stakeholder communications and status updates.
Scheduled agent that analyzes SaaS/software usage against license inventory to find idle seats, redundant tools, and renewal risks.
PR reviews, incidents, FinOps and IaC — agents for the builders.
Automatically reviews incoming pull requests for correctness, style, security, and test coverage, posts inline review comments.
Acts as an AI incident commander that detects, triages, and coordinates response to production incidents, correlating alerts, drafting comms.
Monitors CI/CD pipelines, diagnoses build and deployment failures, and proposes or applies fixes to keep delivery flowing and reduce broken builds.
Continuously analyzes cloud spend, detects anomalies and waste, and produces prioritized.
Generates, reviews, and refactors Terraform and Kubernetes manifests from natural-language requirements, enforcing organizational modules, security.
Generates and maintains unit, integration, and end-to-end tests for changed code, closing coverage gaps and hardening the test suite against.
Generates and keeps engineering documentation current — READMEs, API docs, architecture notes.
Assists teams migrating workloads to Google Cloud by assessing source estates, mapping services, and generating migration plans, refactored code.
Executes and maintains operational runbooks — diagnosing and remediating recurring operational tasks like scaling, restarts, cert rotation.
Continuously scans dependencies and container images for vulnerabilities and outdated packages, then generates prioritized.
Ask your data anything — and keep it clean, governed and observable.
Turns plain-English business questions into validated, cost-aware BigQuery SQL, runs them, and returns results with the generated query explained.
A no-code, chat-first analytics companion for non-technical business users that answers 'why/what/how much' questions over governed datasets and.
Generates scheduled and on-demand reports and Looker dashboards from a natural-language spec, assembling KPIs, charts.
Answers 'where does this data come from, what does this column mean, who owns it, and what breaks if I change it' by reasoning over the data catalog.
Continuously monitors key business and operational metrics in BigQuery, detects statistically significant anomalies.
Runs and reasons over data-quality checks (freshness, completeness, uniqueness, validity) across pipelines, triages failures.
Translates ML/forecast/segmentation model outputs and feature importances into business-readable insight summaries and recommended actions for.
Acts as the single source of truth for metric definitions — answers 'how is this KPI calculated', enforces consistent definitions across queries.
Monitors data-pipeline runs, diagnoses failures and SLA misses event-driven, and pushes root-cause hypotheses plus remediation steps to on-call.
Handles self-serve data-access requests conversationally — checks entitlements, explains policies.
Contracts, research, policy and privacy — reviewed in minutes, not weeks.
Reviews inbound third-party contracts against the customer's playbook, flags risky clauses.
Extracts key clauses, obligations, dates, and metadata from executed contracts into structured records for search, reporting.
Generates first-draft NDAs and standard agreements from approved templates using intake answers, then routes them for signature.
Synthesizes statutes, case law, regulations, and internal precedent into cited research memos with grounded answers.
Answers employee questions about internal policies, codes of conduct, and compliance procedures with grounded, source-linked responses.
Tracks regulatory changes across relevant jurisdictions, assesses impact on the business, and drafts compliance action items.
Triages large document sets for litigation and investigations by relevance, privilege, and responsiveness to accelerate review.
Handles intake of new legal requests, classifies and prioritizes them, and routes to the right team with an SLA and matter record.
Monitors executed contracts for obligations, key dates, and renewals, then proactively alerts owners and drafts renewal actions.
Manages data subject access requests and privacy tasks by locating personal data across systems and drafting compliant responses within regulatory.
Issues, tracks, and enforces legal holds, managing custodian acknowledgments and preservation across data sources.
Requisitions, vendors, invoices and sourcing — spend that manages itself.
Conversational front door for employees to raise purchase requisitions in natural language, auto-completing catalog lookups, cost-center coding.
Long-running multi-step agent that onboards new suppliers end-to-end: collects documents, validates tax/banking/KYC data.
Automates purchase-order, goods-receipt and invoice reconciliation, clearing clean matches straight through and triaging exceptions with explanations.
Analyzes procurement contracts to extract key terms, obligations and pricing, tracks renewal/expiry dates.
Scheduled multi-agent monitor that fuses external risk signals with internal delivery/quality KPIs to score suppliers and raise early warnings on.
No-SQL conversational analytics over procurement spend data, answering category, supplier and savings questions and surfacing consolidation and.
Helps buyers run competitive sourcing events: drafts RFQ packages from requirements, distributes to suppliers.
Meta-orchestration agent that automates end-to-end procure-to-pay handoffs across systems.
SOPs, facilities, inventory and logistics — flowing without friction.
Natural-language assistant that answers stock-level, availability, reorder-point and shipment-status questions across the warehouse and ERP systems.
Walks operators through standard operating procedures step-by-step, grounded in the company's SOP library.
Conversational intake for facilities and workplace requests that triages, categorizes, routes and tracks tickets in the ITSM/facilities system.
Event-driven agent that monitors inbound/outbound shipments, detects delays and exceptions, notifies stakeholders.
Alert triage to audit evidence — a faster, calmer security operation.
Automatically triages incoming SOC alerts by enriching them with context from SIEM, threat intel, and asset inventories, then assigns severity.
Continuously ingests threat intel feeds, vendor advisories, and OSINT, then produces prioritized.
Consolidates vulnerability scanner findings and enriches them with exploit intelligence, asset exposure.
Analyzes user-reported suspicious emails, detonates and evaluates URLs/attachments, verdicts the threat.
Automates periodic user access reviews by gathering entitlements across identity and SaaS systems, flagging anomalies and toxic combinations.
Automatically gathers, organizes, and validates evidence for audits and certifications by pulling artifacts from cloud, identity, ticketing.
A conversational assistant that answers employee and security-team questions about internal security policies, standards, and procedures with cited.
Maps controls, policies, and evidence across multiple regulatory frameworks (SOC 2, ISO 27001, NIST CSF, PCI DSS, GDPR) to identify overlaps, gaps.
Streamlines vendor security assessments by analyzing questionnaire responses, SOC 2/ISO reports.
Supports live incident response by maintaining a real-time incident timeline, coordinating actions.
Feedback, specs, roadmaps and research — synthesized while you sleep.
Continuously ingests raw user feedback from support, sales-call, review, and survey channels, then clusters it into themes, sentiment.
Turns a rough product brief or problem statement into a structured PRD/spec draft, grounded in existing docs, tickets, and prior specs.
Answers natural-language questions about the current product roadmap, timelines, and feature status grounded strictly on the org's roadmap sources.
Monitors competitor products, pricing, and launches across the web, then produces structured teardown reports and battlecards for product and GTM.
Synthesizes qualitative user-research artifacts (interview transcripts, usability sessions, research notes) into insights, personas.
Automatically drafts customer-facing and internal release notes from merged pull requests and resolved tickets when a release is cut.
Lets designers and PMs find design-system components, mockups, brand assets, and past design files across Figma, Canva.
Keeps the product backlog healthy by deduplicating, enriching, tagging, and proposing prioritization for Jira issues on a recurring basis.
Answers natural-language questions over product-usage and feedback data in the warehouse, returning metrics, trends, and narrative insight without SQL.
Reviews Figma designs against accessibility standards, design-system rules, and usability heuristics, producing actionable critique before handoff.
Generates concise sprint-progress and standup digests by summarizing Jira board movement and relevant Slack discussion for product teams.
Under the hood
No-code agents built in plain language inside Gemini Enterprise — connected to Workspace and your business apps.
Google's pro-code framework for serious multi-agent systems — the same ADK behind our Meesho Memory build.
When no connector exists, we build MCP servers on Cloud Run so agents can safely reach your in-house systems.
Managed runtime on Vertex AI — with deploy-anywhere freedom across Cloud Run and GKE when you need it.
Why it matters
If it happens twice, it's a workflow. If it's a workflow, an agent can run it.
We put agents on the busywork and drive the adoption — so your people spend their day on the work only people can do.
How we deliver
A readiness assessment and strategy that aligns Gemini Enterprise with your core business goals.
Pick the highest-value agents from the repository and prove value on your data before you scale.
Full-scale rollout and integration, with data connectors configured, governed and permission-aware.
Design-and-build workshops for the custom agents and agentic workflows that are uniquely yours.
Training, change management and managed services so usage sticks — and keeps improving.
Customer wins
Agents, agentic workflows and automations we've already put into production on Google Cloud — watch the stories.
Meesho · Meesho Memory
An agentic workflow on Google's ADK that reads across Workspace and gives the whole organisation a searchable memory of its own documents.
Mindgate · Jira RCA agent
An agent that reads Jira incidents and drafts root-cause analysis on Google Cloud — the grunt work of every post-mortem, automated.
Mahindra · 207-spec AI platform
From a 3-week MVP to an AI platform handling 207 specifications — proof that agent-led delivery scales from pilot to production.
Good questions
Google's platform for the agentic era — formerly Agentspace. One place where your whole company searches across its apps, chats with frontier Gemini models, and builds, runs and governs AI agents that complete multi-step work end to end.
140 enterprise AI agents across 14 departments — from a Tier-1 support deflection agent to invoice automation, contract review, SOC alert triage and an NL-to-SQL BigQuery analyst. Each one is templated and config-driven: we point it at your systems, tune the prompts to your policies, and it goes to work.
Because repository agents are pre-built and config-driven, deployment means connecting your data sources and setting your rules — not starting from a blank page. Most customers pilot their first agent in days, not quarters, then scale what proves value.
Yes — Gemini Enterprise ships with 80+ premade connectors (Jira, Salesforce, SharePoint, ServiceNow, Slack and more), and new connectors land regularly. Where a connector doesn't exist, we build custom MCP servers on Cloud Run so agents can reach your in-house systems too.
Gemini Enterprise is governed by design: agents honour your existing permissions, carry their own identity for a full audit trail, run behind guardrails like Model Armor, and route sensitive actions through human approval. You get observability over every agent — the oversight of payroll, applied to AI.
Adoption is the whole point. We pair rollout with training and change management, then managed services and performance optimisation so usage sticks and improves — a licence only becomes a transformation when agents become how work gets done.
Gemini Enterprise
Browse the repository, choose the task you want off your team's plate, and we'll have an agent on it — then scale what works.