Improvisation repeats
Each person invents prompts, chooses tools and rediscovers the model’s limits as the engagement moves forward.
Cogni6 turns a recurring consulting task into a custom AI workflow. Your team keeps its tools, but it no longer starts from a blank page to structure context, assign work, control quality and prepare the deliverable.
A recurring method made explicit and reusable.
A workflow adapted to the AI environment your firm already uses.
Human controls and acceptance criteria built into the work.
AI looks fast when the first answer is the only thing measured. The real cost appears afterwards: context to rebuild, instructions to rephrase, answers to compare and work to verify before a consultant can put their name on it.
Each person invents prompts, chooses tools and rediscovers the model’s limits as the engagement moves forward.
Time saved in drafting is consumed by verification, reframing, restoring context and formatting.
The colleague who knows how to use AI becomes a new bottleneck, and their way of working remains difficult to transfer.
It is an AI work method built around a specific professional outcome. It defines the inputs, the expected output, who does what, when the expert intervenes and how quality is judged.
Agents, skills and models are configured around the actual capabilities of the selected environment. They serve the method, never the other way around.
Required information, accepted formats and the conditions that must be met before work begins.
What each step may use, what must stay outside the model and what the expert must confirm.
A producer, analyst, challenger or reviewer, only when the work justifies those roles.
The steps, dependencies, retries and human decisions that turn source material into an outcome.
Criteria for testing facts, logic, assumptions, consistency and the expected form.
A structured output for the real deliverable, including what still requires the consultant’s judgement.
The best first workflow covers a task frequent enough to create capacity, defined enough to test and important enough to deserve a common method.
Turn notes from an initial conversation into scope, open questions, stakeholders, risks and success criteria to validate.
Code themes, preserve nuance, surface disagreements and connect each finding to the material that supports it.
Structure facts, assumptions and dependencies before surfacing the issues that warrant an executive decision.
Build comparable options, make their assumptions explicit and prepare trade-offs without deciding for the consultant.
Turn dispersed analysis into a concise, traceable recommendation shaped around the committee’s expected decision.
Challenge the logic, evidence, risks, inconsistencies and clarity before final review by the accountable expert.
The workflow is designed with the people who produce and review the work. It is tested on synthetic or expressly authorized material before it is transferred to the team.
Observe the current task, rework, decisions and implicit criteria.
Define roles, sequence, minimum context and human approvals.
Adapt agents, skills, instructions and formats to the tool actually in use.
Test representative cases, document failures and correct to the agreed threshold.
Train the team, deliver the documentation and agree on maintenance.
Map of the current workflow and its friction points.
Target workflow with steps, roles and human decisions.
Configuration of agents, skills and instructions for the selected tool.
Evaluation criteria and authorized test scenarios.
Operating guide, known limits and recovery procedure.
Team training and a versioning or maintenance plan.
The choice depends on what you want to keep, the level of integration you need and the confidentiality rules that apply to the work.
Keep your tools
For firms that want to keep using Claude, Gemini, ChatGPT or another approved environment, with a method structured around their actual work.
Bring the engagement together
For firms that want protected context, method, AI work, approvals and deliverables brought together in a space designed for the engagement.
A workflow deployed in an external tool remains subject to that environment’s functions, terms, retention and data policies.
Cogni6 designs minimum-context rules and appropriate controls, but it does not replace your organization’s security or privacy approval.
Capabilities vary by tool, plan and region. The final design is therefore adapted to what can actually be configured and verified.
No time, cost or quality gain is guaranteed before it has been measured on representative cases against your acceptance criteria.
Share a recurring task, the AI tool already in use, the people who produce and review the work, and the expected deliverable. We will determine with you whether it is a good fit for a custom workflow.
Share a workflowThe form is used to qualify the request. It gives no direct calendar access and requires no confidential content.