For executives

Reduce repeated AI mistakes with governed company context.

Give the agents your employees use current priorities, customer commitments, operating rules, and approved ways of working, so AI work supports the business instead of creating more waste.

Book a demoSee where AI work goes wrong

Connect every agent your team uses

ChatGPTChatGPT & Codex
ClaudeCode & Cowork
Cursor
GitHub Copilot
Custom Agents

AI can make bad business judgment much faster.

  1. No direction
    YouIncrease margin
    AgentReducing customer success coverage 📉

    The agent knows the task, but not what matters

    It can draft a plan, proposal, or analysis without knowing this quarter's priorities, the tradeoffs you accept, or the promises you have already made.

  2. False economy
    YouDraft the contract
    AgentDone. I reused last year's terms ✍️

    Fast output creates slow cleanup

    Employees save an hour making work that a manager, lawyer, operator, or customer team must unwind because the agent used the wrong assumptions.

  3. Inconsistent calls
    YouWhat's our discount limit?
    AgentI was told 30% 🤷

    Every employee teaches AI a different company

    Pricing rules, approval paths, customer commitments, and operating principles turn into personal prompts, so the answer changes with the person and tool.

  4. Lost learning
    YouDidn't legal reject that?
    AgentI don't remember 🫥

    The same correction keeps happening across chats

    A good judgment call stays inside one conversation. The next employee and the next agent repeat the same mistake.

Company prioritiesContext
Customer promisesMemory
Operating rulesSkill
Salesagent
Operationsagent
Financeagent

Put company judgment where the work happens.

Alignbase turns strategy, operating rules, approved methods, and working knowledge into governed context. Delivery rules send approved context to the connected agents used by the right teams, while task-specific methods stay available when the work calls for them.

Explore Shared Knowledge →

Direction agents should start with

  • Current company priorities and KPIs
  • Customer commitments and commercial limits
  • Decision rights and approval paths
  • Policies that shape day-to-day work

Approved ways of working

  • Pricing and proposal methods
  • Account planning and review steps
  • Research and analysis standards
  • Escalation and exception handling

Knowledge worth carrying forward

  • Active decisions and their rationale
  • Known customer and market constraints
  • Corrections that should become company practice
  • Short-term working state between sessions

Why employee AI needs clearer company direction.

  1. Directed
    Market evidence
    88%
    of respondents report regular AI use in at least one functionMcKinsey, “The state of AI in 2025.” In a global survey of 1,993 participants, 88% reported that their organizations regularly used AI in at least one business function.Read the source

    AI work starts with company priorities

    Employees can move quickly without rebuilding the business brief in every prompt.

  2. Valuable
    Market evidence
    39%
    of respondents report any enterprise-level EBIT impact from AIMcKinsey, “The state of AI in 2025.” In a global survey of 1,993 participants, 39% attributed any level of enterprise-wide EBIT impact to AI. Most of that group attributed less than 5% of EBIT to AI.Read the source

    Push adoption toward measurable business value

    Connect employee speed to the priorities, constraints, and methods that determine whether the work helps the business.

  3. Productive
    Market evidence
    15%
    more issues resolved per hour with AI assistanceBrynjolfsson, Li, and Raymond, “Generative AI at Work,” Quarterly Journal of Economics (2025). In a study of 5,172 customer-support agents at one company, access to an AI assistant increased issues resolved per hour by 15% on average. The authors caution that the study covers one firm.Read the source

    Give more people access to proven judgment

    Turn the practices of strong operators into context that employees can use through their agents.

  4. Repeatable
    Market evidence
    2 in 3
    respondents say their organizations have not begun scaling AI enterprise-wideMcKinsey, “The state of AI in 2025.” In a global survey of 1,993 participants, nearly two-thirds said their organizations had not begun scaling AI across the enterprise.Read the source

    Make one good correction available to everyone

    Review useful learnings once, then publish them as current context for the people and agents that need them.

Start with one costly, repeated workflow.

Pick a workflow where people use AI often and leaders keep correcting the same business mistakes. Give those agents the context that should shape the work, then expand from there.

  1. Step 1

    Publish the business brief

    Capture the priorities, customer commitments, rules, and approved methods that change the quality of the decision.

  2. Step 2

    Connect the agents employees already use

    Deliver approved company and team context to connected agents based on who uses them. Keep task-specific methods available without asking people to rebuild prompts.

  3. Step 3

    Review what the company learns

    Turn useful corrections into approved context so the next person starts with better judgment.

CompanyStrategy
EngPolicies
SalesPolicies
Division 1KPIs
Division 2KPIs
Team AArchitecture
Team BArchitecture

Stop paying for the same AI mistake twice.

See how Alignbase can give employee agents the direction your business expects.

Book a demoStart free

Questions executives ask.

Short answers about business control, employee autonomy, adoption, and rollout.

Does Alignbase monitor employees?

Alignbase records session metadata for supported connected agents. When conversation capture is supported and enabled, it can also record prompts and final responses. It records the context it served, but does not capture tool inputs, tool outputs, attachments, reasoning, or every downstream action, and it does not claim to measure whether someone followed every instruction.

What business context should we publish first?

Start with information that changes a decision: current priorities, customer promises, pricing and approval limits, decision rights, operating principles, and the few methods your best people use repeatedly.

Will this slow employees down?

The goal is the opposite. Employees should spend less time rebuilding company context in prompts and less time fixing work that used the wrong assumptions.

Can different teams receive different direction?

Yes. Groups simplify access, and Resource roles control who can discover or change context. Independent agent and Group routes deliver company, division, team, project, and job-function context to the connected agents that should receive it.

Who controls changes to company context?

You decide who can write, review, and publish each area of context. Agent learnings can become proposals, but reviewed versions are what reach the broader company.

Where should we start?

Choose one high-volume workflow with visible rework, such as proposals, account research, operating reviews, or policy-heavy analysis. Prove the value there before expanding.