Find the right work
Map a process with its owner. Record volume, time, errors and cost. Choose a task with a useful outcome and a way to check it.
You get: A scoped project and baseline.HOW WE BUILD
Reliable information.
More efficient operations.
We organize the knowledge, build the agents and connect your tools. Then we train your team and measure what improves.
FROM FIRST CALL TO DAILY OPERATIONS
Six steps. One accountable build.
Each stage produces something your team can review.
Organize trusted sources
Identify the authoritative systems and documents. Assign owners, permissions, versions and refresh rules. Resolve gaps before connecting them.
You get: A source register and access plan.Build the complete workflow
Connect approved tools. Add agents where interpretation helps and code where rules must be exact. Set review points, limits and recovery paths.
You get: A working system in a test environment.Test against real examples
Use permitted representative cases, including missing data, conflicting sources and difficult exceptions. Check outputs against verified answers.
You get: Test results and agreed launch criteria.Train people and launch
Teach staff how to give instructions, check evidence and handle exceptions. Roll out in a controlled pilot with an accountable owner.
You get: Team handover and a launch plan.Measure and improve
Monitor quality, adoption, operating cost and financial outcomes. Fix failures, refresh sources and expand the workflows that demonstrate value.
You get: An operating review and next-step plan.THE INFORMATION BEHIND THE ANSWER
Use AI as the workspace.
Keep the records as the authority.
Use ChatGPT to summarize, explain, compare, draft and organize. When details matter, give it the right source—or connect it to the system that holds the fact.
| Information needed | Preferred authority | Control we define |
|---|---|---|
| Customer and lead status | Approved CRM records | Record access, owner and update time |
| Prices, stock and order status | The designated ERP, catalog or live system | Fresh lookup and validation before committing |
| Balances and posted transactions | The accounting system and approved reports | Period, reconciliation and finance review |
| Contract terms | The executed agreement and applicable amendments | Correct party, version and qualified review |
| Company procedures | Approved policies and SOPs | Named owner, effective date and review cycle |
| Current external facts | Official sources found through web search | Original page, date, jurisdiction and relevance |
This is an example. We agree on the authority for each fact with your organization.
What we organize
Titles, owners, source links, permissions, versions, effective dates, review dates and topics. We identify duplicates, superseded documents and missing information.
How the agent uses it
Retrieve the relevant material, preserve its source, check access and show the evidence. Use live tools for changing facts. Flag missing or conflicting information.
Use sources, files or web search when you need:
- Current facts
- Policies or legal guidance
- Prices, dates or schedules
- Citations or links
- Exact source material
- Information that may have changed
Here, search means web search: checking up-to-date information online. For legal questions, authoritative sources and qualified review matter; a model response is not the governing authority.
BUILT AROUND YOUR PEOPLE
AI that knows how
your business works.
We build the work context for each department, role and employee: what they do, what they can access, how they communicate and what a good result looks like.
Department, role and employee context
We document each department’s goals, workflows and handoffs, then define responsibilities and approval limits for each role. Each employee gets an approved work brief with their active projects, relevant context and working preferences.
You get: Department playbooks, role briefs, employee workspace setup and an access map.
Your tone and writing style
We turn your approved examples into a usable style guide: audience, vocabulary, tone, length and document structure. Sales, finance and customer service get the formats their work needs, with checks against the original brief.
You get: A company style guide, department templates and examples of good work.
Useful, controlled memory
We separate shared company knowledge from department, project and employee memory. Define what can be saved, who can use it, and when it should be reviewed or expire. Staff can inspect, correct and remove saved information; changing facts still come from current records.
You get: A memory structure, update and deletion controls, source links and review rules.
Clear decision support
We build briefs that show the question, evidence, assumptions, options, costs and unresolved issues. The system prepares recommendations and routes decisions to the responsible person. Approved decisions can be recorded with their rationale and review date.
You get: Decision templates, evidence links, approval steps and a decision log.
Accuracy and clarity checks
We test outputs against trusted records and representative cases. Validate structured fields and calculations, check source support, and review whether the answer is complete, clear and useful for its audience. Missing or conflicting information goes to an identified owner.
You get: Acceptance criteria, an evaluation set, review checklists and exception handling.
Ongoing cost optimization
We review model choice, context size, retrieval, caching, repeated calls, tool usage, retries and human review time. Test cheaper approaches against the same quality criteria before changing a live workflow. Keep budgets and review frequency aligned with the support scope.
You get: A cost baseline, usage reporting, budget alerts and an improvement backlog.
Shared knowledge. The right context for each person.
Company policies and terminology form the shared base. Department playbooks add workflows and handoffs. Role briefs define responsibilities, tools and approval limits. Employee workspaces add approved preferences and active project context within those permissions.
Sales: account history, approved pricing and your proposal style. Service: product guidance, case history and escalation rules. Finance: current records, calculation checks and approval limits. Operations: SOPs, schedules and handoffs. Leadership: evidence, assumptions and decisions that need attention.
Memory stores approved context; it is not an unchecked record of everything a person does. Important decisions stay with the responsible people, and live business records remain authoritative.
Build my team’s AI system
Context, memory and integrations are scoped to your project. Ongoing support and cost reviews are agreed separately.
TRAIN THE SYSTEM. TRAIN THE TEAM.
“Training” can mean three different things.
We choose the work the project needs and make it clear what changes.
Configure the workflow
Define instructions, examples, trusted sources, tools and approvals. Retrieval gives the model relevant information when it works. This does not automatically retrain its underlying weights.
Fine-tune when justified
Additional model training can help a specialized behavior when suitable examples and evaluation evidence support it. It is not the default solution for changing prices, policies or account records.
Train your people
Show staff how to frame tasks, provide context, inspect sources and review outputs. Practice normal cases, missing information, mistakes and escalation before expanding usage.
Two habits we teach
Task, Context, Expectation: what you need, what the AI should know and what a good response looks like.
CLEAR review: Complete, Logical, Evidence, Audience, Relevant.
Try the interactive guideLESS WASTE. BETTER WORK.
Lower the cost of a correct result.
Reduce repeated work
Retrieve useful context, remove duplicate processing and reuse stable information only when freshness and access rules allow.
Match the tool to the task
Use code for exact rules and calculations. Test smaller models for bounded work. Use stronger models where the quality gain justifies the cost.
Measure the whole process
Count model usage, storage, retrieval, licenses, retries, review time and support. Track successful jobs, not just a low token bill.
How efficiency becomes profit
Measure actual expense reductions and added contribution from extra work or sales. Recovered time is capacity until the business turns it into a financial result. Subtract implementation and operating costs over the chosen period.
Better sources can reduce irrelevant context and corrections, but organizing and maintaining them has a cost too. We test the net effect.
Read the profit measurement guideSTRAIGHT ANSWERS
Questions before you start.
Do we need to replace our software?+
Usually we start with what you use. We check APIs, permissions, connector options and practical constraints before committing to an integration.
Will our private data become public?+
We define access, permitted processing and vendor settings before connecting data. The system should retrieve only what the user and workflow are authorized to access. Never put confidential files in this public website chat.
How do you reduce hallucinations?+
Use the right sources, validate structured fields, check calculations, show evidence and route uncertainty for review. These controls reduce risk; they do not make a model infallible.
What if two sources disagree?+
Apply the agreed source hierarchy. If the conflict cannot be resolved, flag it for the responsible owner and pause any dependent action.
Will our data train a provider’s model?+
That depends on the service, account, agreement and settings. We verify the relevant terms and configuration for the proposed deployment before connecting data.
Can agents take actions without approval?+
Only within the scope you authorize. We define actions the system can take, actions needing approval and actions it cannot take. Permission checks belong in the integration, not only in a prompt.
Who keeps the information current?+
Each source has a named owner and a refresh rule. We agree on monitoring, maintenance and support responsibilities in the engagement.
How do you prove it works?+
Use representative test cases, a baseline and agreed acceptance criteria. Review errors, exceptions, adoption and costs during the pilot before expanding.
What do we receive at handover?+
The agreed working system, operating instructions, source and access documentation, team training and a support plan. Ownership, hosting and ongoing responsibilities are specified in the project scope.
Can you do this across a portfolio?+
Yes. Pilot in one business, then adapt the workflow with separate company data, local process owners and comparable metrics. Wider rollout is scoped in phases.
What does it cost?+
Agents start at $3,000, swarms at $25,000, business systems at $100,000 and portfolio programs at $500,000. These are starting project prices in USD. Software, model usage and ongoing support are separate; scope and a fixed quote are agreed before work starts.
Sources and further reading
PUT IT TO WORK
What should we build for you?
Bring one bottleneck. We’ll discuss the sources, the system and the business case.
INTRODUCING INTELLIGENCE FACTORY
Your brand.
Your processes.
Your way.
One workspace for your people, AI and software. We build the workflows, organize your company knowledge and keep improving performance and cost.
A custom company edition, with scope and ownership agreed before the build.
Intelligence FactoryIllustrative workspace
Fictional sample work
Fictional sample work
TodayWorkflowsKnowledgeApprovalsResults
Work, moving forward.
Your people and AI. One place to get it done.
Prepare a customer quoteNeeds approval
Check an invoiceNeeds information
Prepare an account briefCompleted
Clear ownership. Source evidence. A visible next step.